Instructions to use Fsoft-AIC/dopamin-pharo-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-pharo-example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-pharo-example")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-pharo-example") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-pharo-example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fsoft-AIC/dopamin-pharo-example: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Fsoft-AIC/dopamin-pharo-example/resolve/main/training_args.bin
- Command line
-
hf download hf://Fsoft-AIC/dopamin-pharo-example/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fsoft-AIC/dopamin-pharo-example/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- ecddd585c8c50936b8b03479464e3a60feadbda720750cc266a9df4baf1a279a
- Size of remote file:
- 4.54 kB
- SHA256:
- 182ea28fd9844967d07aa27cc9a074b50da1d1df9349c7c1d6753dbf8488c349
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