Instructions to use deivism/model-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deivism/model-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deivism/model-tf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deivism/model-tf") model = AutoModelForTokenClassification.from_pretrained("deivism/model-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from deivism/model-tf: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/deivism/model-tf/resolve/main/tf_model.h5
- Command line
-
hf download hf://deivism/model-tf/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/deivism/model-tf/resolve/main/tf_model.h5
497 MB
- Xet hash:
- a5bc20ae3f8279cd0267bbaecca4cf8ae8996875b8e6f36a2aef5998f251c1b1
- Size of remote file:
- 497 MB
- SHA256:
- 370d504236b3824393ef2cfa54b8dc8fd3f9c3a12b0cff430012dbcf2171a640
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