Instructions to use OscarXZQ/tracking_shuffled_objects_five_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/tracking_shuffled_objects_five_objects with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "OscarXZQ/tracking_shuffled_objects_five_objects") - Notebooks
- Google Colab
- Kaggle
Download web_of_lies/checkpoint-250/tokenizer.json from OscarXZQ/tracking_shuffled_objects_five_objects: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/OscarXZQ/tracking_shuffled_objects_five_objects/resolve/main/web_of_lies/checkpoint-250/tokenizer.json
- Command line
-
hf download hf://OscarXZQ/tracking_shuffled_objects_five_objects/web_of_lies/checkpoint-250/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/OscarXZQ/tracking_shuffled_objects_five_objects/resolve/main/web_of_lies/checkpoint-250/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.