Instructions to use Fsoft-AIC/dopamin-python-developmentnotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-python-developmentnotes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-python-developmentnotes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-python-developmentnotes") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-python-developmentnotes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc3af1e2ea911d4d82a2b89742635d39de279b73b61926452b81c4669a178ba
- Size of remote file:
- 627 Bytes
- SHA256:
- cec427b48ffc9d7d6a6aef503c7838050847a92d6404909df5891d741c8ce26d
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