Text Classification
Transformers
PyTorch
TensorBoard
English
deberta-v2
Generated from Trainer
deberta-v3
Eval Results (legacy)
Instructions to use mrm8488/deberta-v3-small-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/deberta-v3-small-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/deberta-v3-small-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/deberta-v3-small-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/deberta-v3-small-finetuned-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Update Hugging Face dataset ID
#3 opened over 2 years ago
by
librarian-bot
Librarian Bot: Add base_model information to model
#2 opened about 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot