Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False") model = AutoModelForSequenceClassification.from_pretrained("ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot