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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DISLab/Ext2Gen-8B-R2: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/DISLab/Ext2Gen-8B-R2/resolve/main/tokenizer.json
- Command line
-
hf download hf://DISLab/Ext2Gen-8B-R2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/DISLab/Ext2Gen-8B-R2/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.