71–80 of 80 posts
I typed in 1 2 3 4 5 6 in a text generation task with length=500 and got this: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 4142 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 1 2 3 4 5 6 7 8 9 10 11 12 13 15 15 16 16 18 19…
Hmm, this works with literal translation, then? Hello, how are you? is literally, Bonjour, comment êtes-vous? But usually you would say, Bonjour, comment ça-va? (Hello, how goes it?) Which the model likes to translate to, Bonjour, comment est-ce faite? Which no french person would ever say to you because that's a lot of words and doesn't really sound very... French. And of course are you talking to someone familiar..…
Hi! Creator of the library here. If you change the generation parameters to be greedy (i.e., sample=no and top_k=0), you will get "Bonjour, comment êtes-vous?" The top_k and sample generation parameters are just there to show that they are supported :), and is sometimes useful for the other tasks (like text generation w/gpt2, to get more variety)
Hi everyone! Creator of Transformers.js here :) ... Thanks so much to everyone for sharing! It's awesome to see the positive feedback from the community. As you'll see from the demo, everything runs inside the browser! As of 2023/03/16, the library supports BERT, ALBERT, DistilBERT, T5, T5v1.1, FLAN-T5, GPT2, BART, CodeGen, Whisper, CLIP, Vision Transformer, and VisionEncoderDecoder models, for a variety of tasks inc…
Is there an Optimus model yet for Prime number encoding?
I know this is more of a comment on the state of AI models than Transformers.js. It's probably not even representative of state-of-the-art image classifier models. Just a fun example of how these things learn.
This lib is great work, a JS interface for running HF models. The comments about how "bad" the outputs are as surprising to me as they are alarming.
OAI has now set the zero-effort bar so high that even HNers (who click on .js headlines) fall into the gap they've left. That sucking sound you hear is market share being hoovered up.
I uploaded the Windows XP desktop wallpaper into the image classifier. Just the raw image file. It gave me the labels "monitor", "computer screen", "desktop". "Field", "sky", grass", that kind of thing were nowhere to be found. I know this is more of a comment on the state of AI models than Transformers.js. It's probably not even representative of state-of-the-art image classifier models. Just a fun example of how th…
... and of course, the library only ports those models to the browser; if you train a better model, you can always convert it to the ONNX format, then use it with the library.
Hi everyone! Creator of Transformers.js here :) ... Thanks so much to everyone for sharing! It's awesome to see the positive feedback from the community. As you'll see from the demo, everything runs inside the browser! As of 2023/03/16, the library supports BERT, ALBERT, DistilBERT, T5, T5v1.1, FLAN-T5, GPT2, BART, CodeGen, Whisper, CLIP, Vision Transformer, and VisionEncoderDecoder models, for a variety of tasks inc…
How does this compare to tensorflow.js [1] ? [1] https://www.tensorflow.org/js
Hah, ChatGPT has successfully poisoned the well. Well done sama. This lib is great work, a JS interface for running HF models. The comments about how "bad" the outputs are as surprising to me as they are alarming. OAI has now set the zero-effort bar so high that even HNers (who click on .js headlines) fall into the gap they've left. That sucking sound you hear is market share being hoovered up.
It would be great if we all try to keep the tone respectful and avoid snarkiness to maintain a constructive discussion
Hah, ChatGPT has successfully poisoned the well. Well done sama. This lib is great work, a JS interface for running HF models. The comments about how "bad" the outputs are as surprising to me as they are alarming. OAI has now set the zero-effort bar so high that even HNers (who click on .js headlines) fall into the gap they've left. That sucking sound you hear is market share being hoovered up.
your comments are very snarky It would be great if we all try to keep the tone respectful and avoid snarkiness to maintain a constructive discussion https://news.ycombinator.com/newsguidelines.html
By not highlighting what you found "snarky" your response is a definitional "shallow dismissal". I see you just "picked the most provocative thing to complain about". Not a lot of being "kind" either.
So you know what would also be great? If you held yourself to the standards you're keen to police around here.