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
Download pytorch_model.bin from AbidHasan95/smsner_model2: direct link, hf CLI and curl.
- Browser
- Download file 89.9 MB
-
https://huggingface.co/AbidHasan95/smsner_model2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AbidHasan95/smsner_model2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AbidHasan95/smsner_model2/resolve/main/pytorch_model.bin
89.9 MB
- Xet hash:
- 25168dd302f69ff586ce5e89832a8bafa72f60a6eb4605630034871edc78a7a2
- Size of remote file:
- 89.9 MB
- SHA256:
- 16ceaeba46dbeb3fa049b5f94c1276a8a4f39705c18a1f15d1bf8e63ca32d4c0
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