Instructions to use monsws/ReviewsLibrosAnalisisSentimientos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsws/ReviewsLibrosAnalisisSentimientos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="monsws/ReviewsLibrosAnalisisSentimientos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("monsws/ReviewsLibrosAnalisisSentimientos") model = AutoModelForSequenceClassification.from_pretrained("monsws/ReviewsLibrosAnalisisSentimientos") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90fa091f45ac1690114a7fd42bc011824996cfaa393f532f907d6a467df6bcec
- Size of remote file:
- 328 MB
- SHA256:
- b77a538711ba568a3e1e34df1966c6cb48668ed0e7cb913fa91366a3cdd48506
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