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
File size: 129 Bytes
e14ac2e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:df7c9cf011f4f9400f1f5cf3c4a7a647c7ffb48e8cc7f55519ab028b9e1751ba
size 5841
|