Instructions to use RomanCast/no_init_miam_loria_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RomanCast/no_init_miam_loria_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RomanCast/no_init_miam_loria_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RomanCast/no_init_miam_loria_finetuned") model = AutoModelForSequenceClassification.from_pretrained("RomanCast/no_init_miam_loria_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f316983513495dc6da19065cbeb3ef23088deb189737a68cd46be99e1ee75a
- Size of remote file:
- 443 MB
- SHA256:
- e94d00befb8e35618ae8d5099ffb6f8d5d621438ff3317e7ddb84990c3836d9d
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