21_bert_cpu_scaling_part_1 22_few_shot_learning_gpt_neo_and_inference_api 22_gradio 23_spacy 24_sahajBERT 25_hardware_partners_program 26_graphcore-ipu 27_summer_at_huggingface 28_gradio-spaces 29_streamlit-spaces 30_clip_rsicd 31_age_of_ml_as_code 32_1b_sentence_embeddin...
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At the heart of Book Week is a simple truth: reading matters. It’s not just about learning new words or passing exams. It’s about sparking curiosity, building empathy, and opening doors to new worlds. When we see...
那么,在地球另一端的土耳其,这里的十二时辰又会是怎样的美呢? This led to a lot of discussions about the changing scenery of various cities at different hours during the day. Today we're going to talk about that of Tur...
At this point we assume you have your trained model. Although this model is trained, we aim to make it robust using human-in-the-loop adversarial data. For that, you need a way for users to interact with it: specifically you want users to be able to write/draw numbers from 0-9 ...
Thanks for reading this long post. I hope you found it informative. Feedback and questions are welcome atjulsimon@huggingface.co. Until next time, keep learning! Julien
The \(\text{BOS}\) vector represents the input vector \(\mathbf{y}_0\) fed to the decoder RNN at the very first decoding step. To output the first logit \(\mathbf{l}_1\), an input is required and since no input has been generated at the first step a special \(\text{BOS}\...
bert-cpu-scaling-part-1.md bert-cpu-scaling-part-2.md bert-inferentia-sagemaker.md big-bird.md bloom-inference-optimization.md bloom-inference-pytorch-scripts.md bloom-megatron-deepspeed.md bloom.md carbon-emissions-on-the-hub.md codeparrot.md collaborative-training.md community-update.md ...
Using the Decision Transformer is relatively easy, but as it is an autoregressive model, some care has to be taken in order to prepare the model’s inputs at each time-step. We have prepared both a Python script and a Colab notebook that demonstrates how to use this model....
Each team member spends at most 30 minutes per day in diagnosis and triage. The up-for-grabs label is applied when an issue is a good candidate for a community member (possibly the author) to submit a fix. The team member that applies the up-for-grabs label will help or find someone...