Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use herbiel/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use herbiel/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="herbiel/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("herbiel/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("herbiel/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ce7b23f582b9224dc41bc235e8a66bbc06fbfc517935873b5a586045dd9f7e9
- Size of remote file:
- 5.71 kB
- SHA256:
- 52ba0eb89a335cb0019d165861cddbccf07a85686d407f2ceecc4099bb488df6
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