Instructions to use Twitter/twhin-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Twitter/twhin-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Twitter/twhin-bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Twitter/twhin-bert-base") model = AutoModelForMaskedLM.from_pretrained("Twitter/twhin-bert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Update README.md
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Make mask token explicit (#1)
- Make mask token explicit (62e5dd22f8a626816fbadd518b67d467f55f4129) Co-authored-by: Suzen Fylke <codesue@users.noreply.huggingface.co>946961b -
Update README.md
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Update yaml metadata.
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Add model card v1.
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Upload pytorch model
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initial commit
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