Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado") model = AutoModelForSequenceClassification.from_pretrained("oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado/resolve/a69ed1191cf532d3e330f8e330864b9f241330dc/training_args.bin
- Command line
-
hf download hf://oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado@a69ed1191cf532d3e330f8e330864b9f241330dc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado/resolve/a69ed1191cf532d3e330f8e330864b9f241330dc/training_args.bin
3.5 kB
- Xet hash:
- 2f25f453961a150ed456193e7e19209859bedcca60ae1f3a5f2dd57998f96892
- Size of remote file:
- 3.5 kB
- SHA256:
- ce2d81df693374ed66a16277bfb005a2e4dd47e42daab0965b2aa4e2fa9aa48b
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