Instructions to use Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2") model = AutoModelForSequenceClassification.from_pretrained("Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2/resolve/main/pytorch_model.bin
- Command line
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hf download hf://Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Sleoruiz/robertalex-base-bne-fine-tuned-text-classification-pesos-downsample-2/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- 9c9c1c808a05dc420fe493e2d812056e444a5e5ccc67497e94e9781fff376c3d
- Size of remote file:
- 504 MB
- SHA256:
- b915bdbdf2610fce35607ec0721133ac338bafbf16915d081e6649efd6820b18
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