Instructions to use Fsoft-AIC/dopamin-pharo-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-pharo-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-pharo-intent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-pharo-intent") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-pharo-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fsoft-AIC/dopamin-pharo-intent: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Fsoft-AIC/dopamin-pharo-intent/resolve/main/training_args.bin
- Command line
-
hf download hf://Fsoft-AIC/dopamin-pharo-intent/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fsoft-AIC/dopamin-pharo-intent/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 64bf42c0cec18c4c780fb7e44c177d6c978f6487af10ea0aee4051a17e11b84e
- Size of remote file:
- 4.54 kB
- SHA256:
- cd95ce16ecc7fb856b18a5e6439e547b623cc17bc417b97536010f9f61e7ca7a
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