Text Classification
Transformers
Safetensors
bert
regression
creativity
iclr
text-embeddings-inference
Instructions to use ayarnte/IRM_Arc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayarnte/IRM_Arc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayarnte/IRM_Arc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayarnte/IRM_Arc") model = AutoModelForSequenceClassification.from_pretrained("ayarnte/IRM_Arc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5722bcc0b63948a5161e7055184b1d48d2dea80ddf897988576097421bf0c895
- Size of remote file:
- 5.78 kB
- SHA256:
- 12c04d9e2dc348a4fbab7c116bbc9234bcd6c30f79537e558e94c41d4001d8f7
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