Instructions to use taewhan/k2t-top3_msrvtt_2_lr_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taewhan/k2t-top3_msrvtt_2_lr_8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taewhan/k2t-top3_msrvtt_2_lr_8") model = AutoModelForSeq2SeqLM.from_pretrained("taewhan/k2t-top3_msrvtt_2_lr_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 795539098c6be70707ca57fdcd5fdc8d5ba746e876f573b4a0df32f4389168d9
- Size of remote file:
- 242 MB
- SHA256:
- 30587ff5e3a7b43fd0577d9e44f3467eb4d314e03c87be652615da51ee32b330
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