Instructions to use hf-tiny-model-private/tiny-random-OpenAIGPTModel 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-OpenAIGPTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-OpenAIGPTModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-OpenAIGPTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-OpenAIGPTModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
14489e0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9a03eb6d8ca72195832b383f5a13ab6622daefe3b2d4c613f5958b381b4acc06
size 581792
|