Instructions to use lfoppiano/MatTPUSciBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfoppiano/MatTPUSciBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lfoppiano/MatTPUSciBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lfoppiano/MatTPUSciBERT") model = AutoModelForMaskedLM.from_pretrained("lfoppiano/MatTPUSciBERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b24b0ee7ee1539c7eb3eb470fb7a65a691c0a94a11503a209f72837d9c3841a
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size 442281132
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