Instructions to use dongbobo/MyAwesomeModel-Release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongbobo/MyAwesomeModel-Release with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dongbobo/MyAwesomeModel-Release")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dongbobo/MyAwesomeModel-Release") model = AutoModel.from_pretrained("dongbobo/MyAwesomeModel-Release", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fd10c05c054114555d744067a8c67449726673da7f0a2c1bc23f4f42206822b
- Size of remote file:
- 714 kB
- SHA256:
- 9ae9c7cc713b5dae1e04fa9c128874564d866648bed5e7f465adf34785d0d212
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