Instructions to use Mulin/my_wolf_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mulin/my_wolf_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mulin/my_wolf_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mulin/my_wolf_model") model = AutoModelForSequenceClassification.from_pretrained("Mulin/my_wolf_model") - Notebooks
- Google Colab
- Kaggle
Upload tf_model.h5 with git-lfs
Browse files- tf_model.h5 +3 -0
tf_model.h5
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size 433566080
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