Instructions to use GraphBot/model-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GraphBot/model-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GraphBot/model-tf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GraphBot/model-tf") model = AutoModelForTokenClassification.from_pretrained("GraphBot/model-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from GraphBot/model-tf: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/GraphBot/model-tf/resolve/main/tf_model.h5
- Command line
-
hf download hf://GraphBot/model-tf/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/GraphBot/model-tf/resolve/main/tf_model.h5
436 MB
- Xet hash:
- e64328a5b537057bdc4d22fd9825868f252bf47c81198cef47b8fe3a435549a0
- Size of remote file:
- 436 MB
- SHA256:
- e705155b8b7c54c00cf9ab36d24494058d94220118b317143fd16ed794e9ea8e
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