Instructions to use mateiaassAI/MEID1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaassAI/MEID1000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/MEID1000") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaassAI/MEID1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5813842deb64c6b674c26c6dbe51bbd85da90329ed41861635589d9e2788d3bc
- Size of remote file:
- 2.37 GB
- SHA256:
- dd9b7ffc7637109f488eca1ec125fb1647e9b6439ed34cf4bd1ed2fa5645bce7
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