Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gokulan006/distillbert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokulan006/distillbert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gokulan006/distillbert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gokulan006/distillbert_model") model = AutoModelForSequenceClassification.from_pretrained("gokulan006/distillbert_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 246a1161d7323c94a1b194477e5bc16ef556b0c0890b77792f64612d3624ef34
- Size of remote file:
- 5.2 kB
- SHA256:
- c679ca26103c65e9a8a1a906bc52a4e3504dcd649df3114e1554d574f313ee3d
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