Instructions to use Dipl0/Model_2_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dipl0/Model_2_NLP with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dipl0/Model_2_NLP") model = AutoModelForSeq2SeqLM.from_pretrained("Dipl0/Model_2_NLP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa0426bb0e909bdd0776ff44d2085dfa2624fe53eceded8155d3ebbed7b1290d
- Size of remote file:
- 2.33 GB
- SHA256:
- de9bf48f7b8e2f910730cae82385de3b6d3cb5b124dc9a03837ffe99cf317e22
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