Instructions to use Langboat/mengzi-oscar-base-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Langboat/mengzi-oscar-base-caption with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Langboat/mengzi-oscar-base-caption")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Langboat/mengzi-oscar-base-caption") model = AutoModelForMaskedLM.from_pretrained("Langboat/mengzi-oscar-base-caption", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a01d9f0c68ee3fa66f88c026563a0a93697e4c7fbe874b8a860a0797534eb669
- Size of remote file:
- 418 MB
- SHA256:
- 1ac994a9346e5ea6dab7a26eb096a6f1b82d57709ed7e313f02de77d414ffc05
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