Instructions to use aloxatel/W2L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloxatel/W2L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloxatel/W2L")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloxatel/W2L") model = AutoModelForSequenceClassification.from_pretrained("aloxatel/W2L") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f2f5c2f70f3d78d37578a3aa808fb27117bd1c76dc1484af59886bf0fb53aaf
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size 1425748034
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