Instructions to use faifa/affiliate-caption-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faifa/affiliate-caption-th with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("faifa/affiliate-caption-th") model = AutoModelForSeq2SeqLM.from_pretrained("faifa/affiliate-caption-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dee811037d369c051a2961d211009c9632257a21527e498b2fe9a57e8a5ee6f6
- Size of remote file:
- 16.4 MB
- SHA256:
- 5f47eb5c71090da540a205198ab25536a203255a5d4500e51f861050302a22c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.