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") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Fix casing 9858899
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update readme 7912cbc
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update readme 599c490
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add model_type in config.json d46e33e
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cleanup 6570f49
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rename readme 1294244
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improve readme a477d2f
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add model for TF and PT 9f41599
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