Instructions to use sgugger/my-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/my-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sgugger/my-bert-model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sgugger/my-bert-model", trust_remote_code=True) model = AutoModel.from_pretrained("sgugger/my-bert-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Merge branch 'main' of https://huggingface.co/sgugger/my-bert-model
809ca36 -
add tokenizer
27a58f8 -
Update with custom url print
6c97bac
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Add auto_map field
f6b867d
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Fix syntax error
1ddc92c -
add model
0ca266b -
add model
77143fb -
add model
793ec33 -
initial commit
6854fe6