Instructions to use payelb/RM_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use payelb/RM_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="payelb/RM_deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("payelb/RM_deberta") model = AutoModelForSequenceClassification.from_pretrained("payelb/RM_deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload DebertaV2ForSequenceClassification
Verified signaturec85bfe2 -
Upload DebertaV2ForSequenceClassification
Verified signature6f8ccc6 -
Upload DebertaV2ForSequenceClassification
Verified signature9f6f7a5 -
Upload DebertaV2ForSequenceClassification
Verified signaturec458f32
-
Upload DebertaV2ForSequenceClassification
Verified signaturee42b577 -
Upload DebertaV2ForSequenceClassification
Verified signature4c08caf -
Upload DebertaV2ForSequenceClassification
Verified signature76ef0d7
-
Upload tokenizer
Verified signaturea453d43 -
Upload DebertaV2ForSequenceClassification
Verified signatureea6e023
-
initial commit
Verified signature5e95258