Text Classification
Transformers
Safetensors
Italian
new
xlm-roberta
multilingual
social-media
custom_code
text-embeddings-inference
Instructions to use SimoneAstarita/it-no-bio-20251014-t16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SimoneAstarita/it-no-bio-20251014-t16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SimoneAstarita/it-no-bio-20251014-t16", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("SimoneAstarita/it-no-bio-20251014-t16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SimoneAstarita/it-no-bio-20251014-t16: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/training_args.bin
- Command line
-
hf download hf://SimoneAstarita/it-no-bio-20251014-t16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 587594eb136953d92e170c1741dfca8aa835da5417b26ca6367051095cc9cd23
- Size of remote file:
- 5.18 kB
- SHA256:
- 327a82afb944edebe9cdc01d3ec6287a26978455e57cc0d5d985081de5383a37
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