Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use grexit-d/multipride_umberto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grexit-d/multipride_umberto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grexit-d/multipride_umberto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("grexit-d/multipride_umberto") model = AutoModelForSequenceClassification.from_pretrained("grexit-d/multipride_umberto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from grexit-d/multipride_umberto: direct link, hf CLI and curl.
- Browser
- Download file 4.34 MB
-
https://huggingface.co/grexit-d/multipride_umberto/resolve/main/tokenizer.json
- Command line
-
hf download hf://grexit-d/multipride_umberto/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/grexit-d/multipride_umberto/resolve/main/tokenizer.json
4.34 MB
File too large to display, you can check the raw version instead.