Instructions to use rizkyds/bert-phb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizkyds/bert-phb with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="rizkyds/bert-phb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rizkyds/bert-phb") model = AutoModelForQuestionAnswering.from_pretrained("rizkyds/bert-phb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.a493dcb -
Upload 3 files
d6c9777 -
Update README.md
2bdfdbf
-
Upload training_args.bin
59951f4 -
Upload trainer_state.json
3c4af73 -
Upload scheduler.pt
b324343 -
Upload rng_state.pth
1bcf9f1 -
Upload rng_state.pth
be172d8 -
Upload pytorch_model.bin
301dcfa -
Upload optimizer.pt
e41b5af -
Upload config.json
c134239 -
initial commit
8b1b5c4