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
Upload best checkpoint (exp_alpha/step_2000, overall score 0.759) with model card and figures
6811da3 verified Download config.json from dusersad12/ProdModel-Release: direct link, hf CLI and curl.
- Browser
- Download file 68 Bytes
-
https://huggingface.co/dusersad12/ProdModel-Release/resolve/main/config.json
- Command line
-
hf download hf://dusersad12/ProdModel-Release/config.json
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curl -L -o config.json https://huggingface.co/dusersad12/ProdModel-Release/resolve/main/config.json
68 Bytes
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertModel" | |
| ] | |
| } |