Instructions to use egonzalez/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egonzalez/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="egonzalez/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("egonzalez/classifier") model = AutoModelForMaskedLM.from_pretrained("egonzalez/classifier") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:95f558ebdbddb18f3f5b11f9a072454c2ecef38166f130e0bc48e30f3408882a
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size 438208876
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