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
| {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "special_tokens_map_file": null, "name_or_path": "miguelvictor/python-gpt2-large", "tokenizer_class": "GPT2Tokenizer"} |