Instructions to use Shushant/biomedical_question_answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/biomedical_question_answering 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="Shushant/biomedical_question_answering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/biomedical_question_answering") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/biomedical_question_answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#4 opened almost 3 years ago
by
librarian-bot
Hello Shushant Sir, I need your guidance.
#3 opened almost 3 years ago
by
Chhabi
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot