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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cef833870e4d03107af8dbc360b987ea5ce99e3ed0cc69cbdf454cbc1a9a102e
- Size of remote file:
- 3.26 kB
- SHA256:
- eac8b9e12e4c78803126d6431d870a6fef9e28720f0828203fa79306098b455c
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