Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
cmu-course
Eval Results (legacy)
text-embeddings-inference
Instructions to use Iris314/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iris314/finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Iris314/finetuned_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Iris314/finetuned_model") model = AutoModelForSequenceClassification.from_pretrained("Iris314/finetuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bee8cccff325d8073e199a25309e9419972d1243611244f4f70fedab5feeca6
- Size of remote file:
- 5.78 kB
- SHA256:
- b2246c4a5688cd8a99f099ffc3c438b07a8f09c351ba6ecff399fa7ecd651bad
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