Instructions to use adrianjoheni/model_data10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrianjoheni/model_data10 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="adrianjoheni/model_data10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adrianjoheni/model_data10") model = AutoModelForSeq2SeqLM.from_pretrained("adrianjoheni/model_data10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from adrianjoheni/model_data10: direct link, hf CLI and curl.
- Browser
- Download file 360 Bytes
-
https://huggingface.co/adrianjoheni/model_data10/resolve/main/generation_config.json
- Command line
-
hf download hf://adrianjoheni/model_data10/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/adrianjoheni/model_data10/resolve/main/generation_config.json
360 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 1024, | |
| "min_length": 300, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.41.1" | |
| } | |