Instructions to use BEE-spoke-data/tFINE-900m-instruct-orpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BEE-spoke-data/tFINE-900m-instruct-orpo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BEE-spoke-data/tFINE-900m-instruct-orpo") model = AutoModelForSeq2SeqLM.from_pretrained("BEE-spoke-data/tFINE-900m-instruct-orpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afd8befccff336144518ea4b60305025533f646e0e4415529bc537897a2c90d1
- Size of remote file:
- 1.04 MB
- SHA256:
- 165515d67d17852d3e7c30ec22d7a745330f2cba264f40c3ea9380eddf84396f
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