Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use shirwu/test_save_load with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/test_save_load with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/test_save_load", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/test_save_load") model = AutoModelForSequenceClassification.from_pretrained("shirwu/test_save_load", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd14c7e271c556f0f907efe01d4244f4b94f621fbfb9759e8d724240bc403152
- Size of remote file:
- 4.94 GB
- SHA256:
- f6ed3744d544c104f8046e3301caaf20d72cdcdb49e219937c69a77d8b615d59
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