Instructions to use hf-internal-testing/tiny-random-LxmertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LxmertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-LxmertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LxmertModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-LxmertModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
97612a0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3dc1b97820650df10087d1b45c289e9a762c6fb033f5805a5349822ea713a325
size 499256
|