Text Classification
Transformers
Joblib
Safetensors
deberta-v2
regression
creativity
iclr
text-embeddings-inference
Instructions to use ayarnte/IRM_high_ver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayarnte/IRM_high_ver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayarnte/IRM_high_ver")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayarnte/IRM_high_ver") model = AutoModelForSequenceClassification.from_pretrained("ayarnte/IRM_high_ver") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5213408373ead6fd57504a41b7866eb556c8e0ff9e978180b3064a4f054f8ba
- Size of remote file:
- 5.84 kB
- SHA256:
- df7c9cf011f4f9400f1f5cf3c4a7a647c7ffb48e8cc7f55519ab028b9e1751ba
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