Instructions to use neuronstarml/samsuntextsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuronstarml/samsuntextsum with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="neuronstarml/samsuntextsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neuronstarml/samsuntextsum") model = AutoModelForSeq2SeqLM.from_pretrained("neuronstarml/samsuntextsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from neuronstarml/samsuntextsum: direct link, hf CLI and curl.
- Browser
- Download file 275 Bytes
-
https://huggingface.co/neuronstarml/samsuntextsum/resolve/main/generation_config.json
- Command line
-
hf download hf://neuronstarml/samsuntextsum/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/neuronstarml/samsuntextsum/resolve/main/generation_config.json
275 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "forced_eos_token_id": 1, | |
| "length_penalty": 0.8, | |
| "max_length": 128, | |
| "min_length": 32, | |
| "num_beams": 8, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.43.3" | |
| } | |