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 tokenizer.json from SimoneAstarita/it-no-bio-20251014-t16: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/tokenizer.json
- Command line
-
hf download hf://SimoneAstarita/it-no-bio-20251014-t16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- fd0f2593d04f14d233dd5fe260692893242dc61733f57071b27d1caeff349ea9
- Size of remote file:
- 17.1 MB
- SHA256:
- d0091a328b3441d754e481db5a390d7f3b8dabc6016869fd13ba350d23ddc4cd
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