Instructions to use MickyMike/000-GPT2SP-mulestudio-titanium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MickyMike/000-GPT2SP-mulestudio-titanium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MickyMike/000-GPT2SP-mulestudio-titanium")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MickyMike/000-GPT2SP-mulestudio-titanium") model = AutoModelForSequenceClassification.from_pretrained("MickyMike/000-GPT2SP-mulestudio-titanium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5db136a861c06835ac5cc48bcedff0c36ef9b136a44b803fe2d34434ee6497ea
- Size of remote file:
- 529 MB
- SHA256:
- ef0a6bc1bf0cdff5adf92e257b08ce5a729dbb6c94b5d30f295c9aaebc29a31a
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