Question Answering
Transformers
Safetensors
English
llama
text-generation
rag
text-generation-inference
Instructions to use DISLab/Ext2Gen-8B-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DISLab/Ext2Gen-8B-R2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DISLab/Ext2Gen-8B-R2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DISLab/Ext2Gen-8B-R2") model = AutoModelForCausalLM.from_pretrained("DISLab/Ext2Gen-8B-R2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 128001, | |
| 128008, | |
| 128009 | |
| ], | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.44.2" | |
| } | |