Text Classification
Transformers
PyTorch
Safetensors
Spanish
roberta
spanish
paws-x
text-embeddings-inference
Instructions to use bertin-project/bertin-base-paws-x-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-paws-x-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bertin-project/bertin-base-paws-x-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-paws-x-es") model = AutoModelForSequenceClassification.from_pretrained("bertin-project/bertin-base-paws-x-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bertin-project/bertin-base-paws-x-es: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/bertin-project/bertin-base-paws-x-es/resolve/main/model.safetensors
- Command line
-
hf download hf://bertin-project/bertin-base-paws-x-es/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bertin-project/bertin-base-paws-x-es/resolve/main/model.safetensors
499 MB
- Xet hash:
- d5cb153a444345db2c22042c9d359c12c2df325896c948ab06848fcee88de2c0
- Size of remote file:
- 499 MB
- SHA256:
- 713eb44c49566878d553c93ea4dba4adb8c4a1d86b3df5d4476b17da1c0760c6
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