Instructions to use LexFerrinson/FirstModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LexFerrinson/FirstModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LexFerrinson/FirstModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LexFerrinson/FirstModel") model = AutoModelForTokenClassification.from_pretrained("LexFerrinson/FirstModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from LexFerrinson/FirstModel: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/LexFerrinson/FirstModel/resolve/main/tf_model.h5
- Command line
-
hf download hf://LexFerrinson/FirstModel/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/LexFerrinson/FirstModel/resolve/main/tf_model.h5
266 MB
- Xet hash:
- 7437ef53be6bb0516681d0743d09c1df9410b16660d15aca5fa17a8f8f4206fe
- Size of remote file:
- 266 MB
- SHA256:
- be5bea6237c7c3cfa9f776dbe2172b0789e5006bb52493b288ae29affe865c7e
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