Instructions to use philippelaban/summary_loop46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philippelaban/summary_loop46 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="philippelaban/summary_loop46")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("philippelaban/summary_loop46") model = AutoModelForCausalLM.from_pretrained("philippelaban/summary_loop46") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "<|endoftext|>", "bos_token": "ĠST", "eos_token": "END", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"} |