Instructions to use niansong1996/lever-mbpp-codex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niansong1996/lever-mbpp-codex with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("niansong1996/lever-mbpp-codex") model = AutoModelForSeq2SeqLM.from_pretrained("niansong1996/lever-mbpp-codex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5c698a2eeeaa27b5a1facd8678e4e50cc89be7909ec42e0721fa30a9ee0aac6
- Size of remote file:
- 2.95 GB
- SHA256:
- ed9e09bb4073abf2e42c19cda4446d8d34f269cfc9527cf3e9bf93364f8c0579
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