Instructions to use manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO") model = AutoModelForSequenceClassification.from_pretrained("manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/manuelcastiblan/BERT_POL_INDIGNACION_ORGULLO/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- beadcee17738a97cf626fcbaa945e3aa5ec4a6d1f209be9d1adcf8ef0dd849df
- Size of remote file:
- 439 MB
- SHA256:
- 6bf4d62bf56e5427c5361017062962a15429f26a95c64efb9da53eb529bd481f
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