Instructions to use APredator/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use APredator/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("APredator/results") model = AutoModelForSeq2SeqLM.from_pretrained("APredator/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from APredator/results: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/APredator/results/resolve/main/generation_config.json
- Command line
-
hf download hf://APredator/results/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/APredator/results/resolve/main/generation_config.json
232 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "early_stopping": true, | |
| "eos_token_id": 1, | |
| "length_penalty": 2.0, | |
| "max_length": 120, | |
| "num_beams": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.42.4" | |
| } | |