Instructions to use tr3cks/3LabelsSentimentAnalysisSpanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tr3cks/3LabelsSentimentAnalysisSpanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tr3cks/3LabelsSentimentAnalysisSpanish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tr3cks/3LabelsSentimentAnalysisSpanish") model = AutoModelForSequenceClassification.from_pretrained("tr3cks/3LabelsSentimentAnalysisSpanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tr3cks/3LabelsSentimentAnalysisSpanish: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/tr3cks/3LabelsSentimentAnalysisSpanish/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tr3cks/3LabelsSentimentAnalysisSpanish/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tr3cks/3LabelsSentimentAnalysisSpanish/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- 5809ecab16e7517ea92d9ab41b26230e64859b703f7a4028814622f1bd0bcddf
- Size of remote file:
- 439 MB
- SHA256:
- 5cb9bfbf24cf6c25df35236a9d68590ed1f224321dcbf9544ff4fe5703f52a4e
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