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 # Warning: Pipeline type "question-answering" 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("question-answering", model="neverdeadlf/mds")# pip install -U transformers accelerate # 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
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("neverdeadlf/mds")
model = AutoModelForCausalLM.from_pretrained("neverdeadlf/mds", device_map="auto")Quick Links
- Downloads last month
- 11
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="neverdeadlf/mds")