Instructions to use aytugkaya/python-gpt2-large-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aytugkaya/python-gpt2-large-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aytugkaya/python-gpt2-large-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aytugkaya/python-gpt2-large-issues-128") model = AutoModelForMaskedLM.from_pretrained("aytugkaya/python-gpt2-large-issues-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbb1c44c52803c3ce9a03bd94e983865e89efe2cc1c63fffb8f1fefdd79df1b0
- Size of remote file:
- 3.06 kB
- SHA256:
- 4d547d1c501b4a1b4e1538815f7257f4e0e91e8014c9c9fd3bd039387665d8c4
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