Instructions to use alon-albalak/ODM_1Bparams_50Btokens_seqlen2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alon-albalak/ODM_1Bparams_50Btokens_seqlen2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alon-albalak/ODM_1Bparams_50Btokens_seqlen2048")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alon-albalak/ODM_1Bparams_50Btokens_seqlen2048") model = AutoModel.from_pretrained("alon-albalak/ODM_1Bparams_50Btokens_seqlen2048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This is a GPT-NeoX model trained on 50 billion tokens from The Pile, using the Online Data Mixing method.
The OpenLLM leaderboard won't let me submit my model because the description is too short, so I'm adding more characters to the description in hopes that it will be evaluated.
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