Text Classification
Transformers
TensorBoard
Safetensors
bert
Lee
10_class
Generated from Trainer
text-embeddings-inference
Instructions to use CodeJohnwick/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeJohnwick/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeJohnwick/model_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeJohnwick/model_output") model = AutoModelForSequenceClassification.from_pretrained("CodeJohnwick/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from CodeJohnwick/model_output: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/CodeJohnwick/model_output/resolve/main/model.safetensors
- Command line
-
hf download hf://CodeJohnwick/model_output/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CodeJohnwick/model_output/resolve/main/model.safetensors
436 MB
- Xet hash:
- ed4173bdc24621bde8054e4bfa544c6a805c68e569fcaf76679ab9f307ba422f
- Size of remote file:
- 436 MB
- SHA256:
- e98b5e7a96cdcd1966f2a9c54a71b63f77b293d58fac4ffac4a93815eec1f046
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