Instructions to use junjun111524/gamefirst_0508 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junjun111524/gamefirst_0508 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junjun111524/gamefirst_0508")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junjun111524/gamefirst_0508") model = AutoModel.from_pretrained("junjun111524/gamefirst_0508") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b686cbca1dad3a47b27861b477b67e221286381c0dd1e3e990642a2339ed0323
- Size of remote file:
- 409 MB
- SHA256:
- af65247f0b225b07646fcab99837da6f039a74edbea5b0dab5f29dce35aa5fde
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