Instructions to use Lin-Chen/ShareCaptioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lin-Chen/ShareCaptioner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lin-Chen/ShareCaptioner", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lin-Chen/ShareCaptioner", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
AttributeError: InternLMXComposerTokenizer has no attribute vocab_size
3
#8 opened over 1 year ago
by
hiru123
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
'InternLMXComposerTokenizer' object has no attribute 'sp_model'
3
#6 opened almost 2 years ago
by
leowgyang
base model of share-captioner
#5 opened about 2 years ago
by
magicqqq
Training costs for ShareCaptioner
#4 opened about 2 years ago
by
YoojLee
What is the unified instruction of sharecaptioner?
#3 opened about 2 years ago
by
luping-liu
Adding `safetensors` variant of this model
#2 opened about 2 years ago
by
SFconvertbot
Thanks for sharing captioner
🔥 1
#1 opened over 2 years ago
by
xxxk