Question Answering
Transformers
Safetensors
English
llama
text-generation
media
llama-factory
text-generation-inference
Instructions to use neverdeadlf/mds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neverdeadlf/mds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="neverdeadlf/mds")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("neverdeadlf/mds") model = AutoModelForCausalLM.from_pretrained("neverdeadlf/mds", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - media | |
| - llama-factory | |
| pipeline_tag: question-answering | |
| ## Model Description | |
| this is for verification |