Instructions to use hf-internal-testing/tiny-random-OPTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-OPTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-OPTModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-OPTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-OPTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
901d92b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5584b4927b3a0580c41513bc63abb95cd972852ea9327c81fb9a9484cfe95758
size 3343768
|