Instructions to use hf-tiny-model-private/tiny-random-MegatronBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MegatronBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-MegatronBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
0ff1d7c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b3f53f3981c1679a56584794eb5ea9e3cbebf7a5171f9457623db97d2962d1d7
size 890489
|