Instructions to use AbidHasan95/smsner_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbidHasan95/smsner_model2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbidHasan95/smsner_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from AbidHasan95/smsner_model2: direct link, hf CLI and curl.
- Browser
- Download file 62 Bytes
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https://huggingface.co/AbidHasan95/smsner_model2/resolve/main/README.md
- Command line
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hf download hf://AbidHasan95/smsner_model2/README.md
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curl -L -o README.md https://huggingface.co/AbidHasan95/smsner_model2/resolve/main/README.md
62 Bytes
metadata
license: mit
language:
- en
library_name: transformers