Instructions to use LRJ1981/RITO_Version1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/RITO_Version1.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/RITO_Version1.0") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/RITO_Version1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/May13_07-56-46_r-lrj1981-ml-test-zx4ztum5-855f6-xnwlo/events.out.tfevents.1715587009.r-lrj1981-ml-test-zx4ztum5-855f6-xnwlo.67.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:93e2d4686464d7b587cb649cddc5537102302af4cf41fd56198e4be0a5d2d58c
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size 5634
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