Text Classification
Transformers
Safetensors
Spanish
new
xlm-roberta
multilingual
social-media
custom_code
text-embeddings-inference
Instructions to use SimoneAstarita/es-no-bio-20251013-t01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SimoneAstarita/es-no-bio-20251013-t01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SimoneAstarita/es-no-bio-20251013-t01", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("SimoneAstarita/es-no-bio-20251013-t01", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SimoneAstarita/es-no-bio-20251013-t01: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/SimoneAstarita/es-no-bio-20251013-t01/resolve/main/training_args.bin
- Command line
-
hf download hf://SimoneAstarita/es-no-bio-20251013-t01/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SimoneAstarita/es-no-bio-20251013-t01/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 80b96bd11220fb84f1bfa11a136a7129e8016b66576cd2a24932302155469820
- Size of remote file:
- 5.18 kB
- SHA256:
- 675f242d6df716fb874ec4d315c516467abe09116ec8598cd68073978adfd15f
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