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 special_tokens_map.json from catpawdev/gpt_2X: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/catpawdev/gpt_2X/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://catpawdev/gpt_2X/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/catpawdev/gpt_2X/resolve/main/special_tokens_map.json
237 Bytes
| { | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": "<|endoftext|>" | |
| } | |