Instructions to use hf-internal-testing/tiny-random-GPTNeoXModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoXModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-GPTNeoXModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf102f7e448c4fe8f254c23237d18ad35884c26629c3f2dd09063c7f6637ad8b
- Size of remote file:
- 1.59 MB
- SHA256:
- eb70ad4000e82eb74af8379be7d278ac15e19f32d8be47f4fed4c0d4c17dcba2
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