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 optimizer.pt from SimoneAstarita/it-no-bio-20251014-t16: direct link, hf CLI and curl.
- Browser
- Download file 2.45 GB
-
https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/optimizer.pt
- Command line
-
hf download hf://SimoneAstarita/it-no-bio-20251014-t16/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SimoneAstarita/it-no-bio-20251014-t16/resolve/main/optimizer.pt
2.45 GB
- Xet hash:
- 2b378008696bf580984cd336cb0dbbfc54f3b0018af932d7249db67c19d0cae4
- Size of remote file:
- 2.45 GB
- SHA256:
- 2f027cf25ea80e6fbb1fc89cf6a5858e5302d2bdafdf430e3f059507446d9425
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