Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use loveh/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loveh/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="loveh/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("loveh/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("loveh/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b1607ac1807283aeea78f060341cf0658b87ad2309d6aaf4d0d5eda0e108bb
- Size of remote file:
- 5.3 kB
- SHA256:
- bdbc980423642f4565ed7b339bc1594e6593be320551873f5e5eac4d824e6d6b
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