Instructions to use gngpostalsrvc/COHeN_wl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/COHeN_wl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gngpostalsrvc/COHeN_wl")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/COHeN_wl") model = AutoModelForSequenceClassification.from_pretrained("gngpostalsrvc/COHeN_wl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e02cd0ccde424b263b6f7fc0f66ff72cd23fc2cbea512428b2326002b0a885c
- Size of remote file:
- 42.9 MB
- SHA256:
- 8bfde65766ba534fca51c707afeab6a3d50b059bb1426d11ac8178a6388afeb9
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