Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use guymorlan/factrel_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guymorlan/factrel_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guymorlan/factrel_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("guymorlan/factrel_deberta") model = AutoModelForSequenceClassification.from_pretrained("guymorlan/factrel_deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe14a8cfdfc4da6b11e98ee26a6c4e6f155e7b392ea9e8f20558a65209cd1c7e
- Size of remote file:
- 5.3 kB
- SHA256:
- 17b54ee25a6c95aa90f23348edca2adda28274a1612ca0ae6667e1a24a52c833
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