Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use shirwu/test_save_load2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/test_save_load2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/test_save_load2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/test_save_load2") model = AutoModelForSequenceClassification.from_pretrained("shirwu/test_save_load2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33901d09ba2a1ca7d622fdb68dc6659da9c46abafe53e1fabc38d1cb7f6e71c5
- Size of remote file:
- 5.43 kB
- SHA256:
- 8e033002b66ea224381b13874602dd335e24ec9c38712967e12dc907c3041fe0
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