Instructions to use mateiaassAI/MEID_2000K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaassAI/MEID_2000K with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/MEID_2000K") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaassAI/MEID_2000K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1349ed30e919c8448b1694bc3b57b829ec6f3b9600137b0975d2e04124d44cf8
- Size of remote file:
- 2.37 GB
- SHA256:
- 913b8c049e1504226115bdb9a90c7eb21bd9e4fcf6c8ab95b49f4fe278cd6ac9
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