Question Answering
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Instructions to use katxtong/coqa_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katxtong/coqa_full 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="katxtong/coqa_full")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("katxtong/coqa_full") model = AutoModelForQuestionAnswering.from_pretrained("katxtong/coqa_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from katxtong/coqa_full: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/katxtong/coqa_full/resolve/main/tokenizer.json
- Command line
-
hf download hf://katxtong/coqa_full/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/katxtong/coqa_full/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.