Text Classification
Transformers
PyTorch
TensorFlow
Italian
camembert
sentiment
Italian
text-embeddings-inference
Instructions to use MilaNLProc/feel-it-italian-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaNLProc/feel-it-italian-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MilaNLProc/feel-it-italian-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MilaNLProc/feel-it-italian-sentiment") model = AutoModelForSequenceClassification.from_pretrained("MilaNLProc/feel-it-italian-sentiment", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
#3 opened 1 day ago
by
iscopre
Il modello non funziona correttamente su testi lunghi.
1
#2 opened almost 3 years ago
by
luigisaetta
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot