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")# 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:
- d4ae83fc0c9b07c0d7c16e5b47af75d9c7f6a4ebd62fdf54e02ef5807c8a8a1a
- Size of remote file:
- 5.43 kB
- SHA256:
- 6e6f5661c48a2b4e29e54a4c40557f58cd0315b682a3ec03857bd8ab04fa741c
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