Feature Extraction
Transformers
PyTorch
bert
reasoning
code-generation
language-model
mit
benchmarked
Instructions to use dsfsf445/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsf445/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dsfsf445/MyAwesomeModel-TestRepository")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dsfsf445/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("dsfsf445/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +4 -0
config.json
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{
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"model_type": "bert",
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"architectures": ["BertModel"]
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}
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