Instructions to use hf-internal-testing/tiny-random-RoFormerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoFormerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RoFormerModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
22e7df2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:34f43ae5c492fe7b0adce9f2da7e085bb009f80e0d1c7cf4f37f6023bc2d243f
size 6581168
|