Instructions to use hf-tiny-model-private/tiny-random-XGLMModel 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-XGLMModel 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-XGLMModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XGLMModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-XGLMModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
5dc1237 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d7f790ea8762b3eccb2d03b5b79aa3dc49c09bebfd57c458054ce90e8d9304a6
size 32996205
|