Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dang1812/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dang1812/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dang1812/trained_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dang1812/trained_model") model = AutoModelForSequenceClassification.from_pretrained("dang1812/trained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Apr24_03-26-44_bc5e4b72e851/events.out.tfevents.1682306812.bc5e4b72e851.254.2
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