Instructions to use hsc748NLP/TfhBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsc748NLP/TfhBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hsc748NLP/TfhBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hsc748NLP/TfhBERT") model = AutoModelForMaskedLM.from_pretrained("hsc748NLP/TfhBERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:985b62446e320fea8aadf314b29dab9c1f9a3e1d010858a003979aa6d8da3ab4
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size 711926124
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