Instructions to use PragmaticMachineLearning/name-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PragmaticMachineLearning/name-norm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PragmaticMachineLearning/name-norm") model = AutoModelForSeq2SeqLM.from_pretrained("PragmaticMachineLearning/name-norm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from PragmaticMachineLearning/name-norm: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
-
https://huggingface.co/PragmaticMachineLearning/name-norm/resolve/main/generation_config.json
- Command line
-
hf download hf://PragmaticMachineLearning/name-norm/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/PragmaticMachineLearning/name-norm/resolve/main/generation_config.json
168 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.28.0.dev0", | |
| "max_length": 512 | |
| } | |