Instructions to use denritchie/tBERT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use denritchie/tBERT-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="denritchie/tBERT-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("denritchie/tBERT-v1") model = AutoModelForMaskedLM.from_pretrained("denritchie/tBERT-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 363c24d
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:38ae2ebfe1f0119e0b14414f70a3ffeb0dae7e3f285809e5287ef333c3fd8952
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size 334021505
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