Question Answering
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use catpawdev/gpt_2X with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catpawdev/gpt_2X with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="catpawdev/gpt_2X")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("catpawdev/gpt_2X") model = AutoModelForQuestionAnswering.from_pretrained("catpawdev/gpt_2X", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from catpawdev/gpt_2X: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/catpawdev/gpt_2X/resolve/main/training_args.bin
- Command line
-
hf download hf://catpawdev/gpt_2X/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/catpawdev/gpt_2X/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 595cf5e2a6097bac13ffe3b00b27e63d145da5bcc4fb46e0e00836a907acd729
- Size of remote file:
- 4.54 kB
- SHA256:
- 63a1ddab027300d30d4ddcd2185e8b53290672f61b3e5baba2835a9364cbfdd3
路
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