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
File size: 157 Bytes
841683c | 1 2 3 4 5 6 7 8 9 10 11 | {
"tags": [
"bert",
"reasoning",
"code-generation",
"language-model",
"mit"
],
"license": "mit",
"library_name": "transformers"
} |