Feature Extraction
Transformers
PyTorch
qwen2
llama-factory
full
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use Wannabtl/modeltest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wannabtl/modeltest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Wannabtl/modeltest", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Wannabtl/modeltest", trust_remote_code=True) model = AutoModel.from_pretrained("Wannabtl/modeltest", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36042f8f35ece3fce66eb092f18b42d8b87f673e791c0f89a2194ee5a4c0f83d
- Size of remote file:
- 7.42 kB
- SHA256:
- 8f52af9b04573af2c978686a08d2f07e828f92237d7299b4e680f0c45c33e9da
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