Instructions to use giacomomiolo/scibert_reupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomomiolo/scibert_reupload with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("giacomomiolo/scibert_reupload") model = AutoModelForPreTraining.from_pretrained("giacomomiolo/scibert_reupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis 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.84885aa
-
upload flax model
e3e95d2 -
allow flax
e5c0d9b
-
Update tf_model.h5
2b843a1 -
Update pytorch_model.bin
8ee4af7 -
Update vocab.txt
d013dc2 -
Update config.json
586ebd0 -
Update special_tokens_map.json
d92b916 -
Update tokenizer_config.json
0bd7150 -
Update .DS_Store
83e7281 -
initial commit
816a2dc