Instructions to use hf-internal-testing/tiny-random-MptForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MptForQuestionAnswering 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="hf-internal-testing/tiny-random-MptForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MptForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MptForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened over 2 years ago
by
SFconvertbot
Update tiny models for MptForQuestionAnswering
#5 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for MptForQuestionAnswering
#4 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for MptForQuestionAnswering
#3 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for MptForQuestionAnswering
#2 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for MptForQuestionAnswering
#1 opened about 3 years ago
by
hf-transformers-bot