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:
- 3a79f169582d204f0545af67f0a8cd6164def1110bea9de2d35d8fef7c266a15
- Size of remote file:
- 2.29 kB
- SHA256:
- 97fcd10f004361acfc1faaefe6744b33d57824ab9b6d963cf3e9bb8c490157a9
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