Instructions to use ferdmartin/HF_BertBasedModelAppDocs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ferdmartin/HF_BertBasedModelAppDocs with Transformers:
# Load model directly from transformers import AutoTokenizer, MyHFModel_BertBased tokenizer = AutoTokenizer.from_pretrained("ferdmartin/HF_BertBasedModelAppDocs") model = MyHFModel_BertBased.from_pretrained("ferdmartin/HF_BertBasedModelAppDocs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 168 Bytes
753e878 | 1 2 3 4 5 6 7 8 9 10 | {
"architectures": [
"MyHFModel_BertBased"
],
"final_dropout": 0.55,
"model_type": "bert",
"torch_dtype": "float32",
"transformers_version": "4.27.3"
}
|