Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use srini98/distilbert_finetuned-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srini98/distilbert_finetuned-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="srini98/distilbert_finetuned-clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("srini98/distilbert_finetuned-clinc") model = AutoModelForSequenceClassification.from_pretrained("srini98/distilbert_finetuned-clinc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training Completed
Browse files
pytorch_model.bin
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runs/Jul13_22-56-55_Srini/events.out.tfevents.1657724238.Srini.32732.0
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