Instructions to use alichte/TG-Relation-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alichte/TG-Relation-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alichte/TG-Relation-Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alichte/TG-Relation-Model") model = AutoModelForTokenClassification.from_pretrained("alichte/TG-Relation-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alichte/TG-Relation-Model: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/alichte/TG-Relation-Model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alichte/TG-Relation-Model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alichte/TG-Relation-Model/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 3d6392908c2f91c12bbac1ecc93f795f8cfe63d0e7cb60f320e02af2443edd9b
- Size of remote file:
- 433 MB
- SHA256:
- 9d773489589542dd996e0cff7b3607ab2695d507f654ec26bb35f63fcbdcab85
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