Instructions to use ErickMVdO/lesson4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ErickMVdO/lesson4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ErickMVdO/lesson4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ErickMVdO/lesson4") model = AutoModelForSequenceClassification.from_pretrained("ErickMVdO/lesson4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5aeed6622b8040de1f11fd0093299e4c82068314aa4487b0fd8aa911dae6615
- Size of remote file:
- 568 MB
- SHA256:
- ff0db9740a3170a88e9e391bbb9fdd629226f1aeff2a8db38db90b9861855f0e
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