Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use HAOUHAT/legal-doctrine-Coding-Challenge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HAOUHAT/legal-doctrine-Coding-Challenge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HAOUHAT/legal-doctrine-Coding-Challenge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HAOUHAT/legal-doctrine-Coding-Challenge") model = AutoModelForSequenceClassification.from_pretrained("HAOUHAT/legal-doctrine-Coding-Challenge") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot