Instructions to use timpal0l/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timpal0l/mdeberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="timpal0l/mdeberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("timpal0l/mdeberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("timpal0l/mdeberta-v3-base-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Fine Tuning for SQUAD-pt
1
#7 opened almost 2 years ago
by
mvf2
Works in portuguese
👍 2
#6 opened about 2 years ago
by
ferosadigital
This model seems to perform poorly in Chinese
#5 opened over 2 years ago
by
free126
How can I feed the "context" with whole Turkish wikipedia in json format
4
#4 opened over 2 years ago
by
whatnext
[AUTOMATED] Model Memory Requirements
#3 opened over 2 years ago
by
model-sizer-bot
can i fine tune the parameters to give long answer ?
5
#2 opened about 3 years ago
by
kareem22