Instructions to use dusersad12/ProdModel-Release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/ProdModel-Release with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dusersad12/ProdModel-Release")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dusersad12/ProdModel-Release") model = AutoModel.from_pretrained("dusersad12/ProdModel-Release", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 68 Bytes
6811da3 | 1 2 3 4 5 6 | {
"model_type": "bert",
"architectures": [
"BertModel"
]
} |