Total runs:
50.4K
Run Growth:
40.4K
Growth Rate:
80.12%
Sponsored by
APIMart
valhalla / t5-base-squad
Model's Last Updated: December 12 2020
text-generation
Introduction of t5-base-squad
Model Details of t5-base-squad
T5 for question-answering
This is T5-base model fine-tuned on SQuAD1.1 for QA using text-to-text approach
Model training
This model was trained on colab TPU with 35GB RAM for 4 epochs
Results:
| Metric | #Value |
|---|---|
| Exact Match | 81.5610 |
| F1 | 89.9601 |
Model in Action 🚀
from transformers import AutoModelWithLMHead, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("valhalla/t5-base-squad")
model = AutoModelWithLMHead.from_pretrained("valhalla/t5-base-squad")
def get_answer(question, context):
input_text = "question: %s context: %s </s>" % (question, context)
features = tokenizer([input_text], return_tensors='pt')
out = model.generate(input_ids=features['input_ids'],
attention_mask=features['attention_mask'])
return tokenizer.decode(out[0])
context = "In Norse mythology, Valhalla is a majestic, enormous hall located in Asgard, ruled over by the god Odin."
question = "What is Valhalla ?"
get_answer(question, context)
# output: 'a majestic, enormous hall located in Asgard, ruled over by the god Odin'
Play with this model
Created by Suraj Patil
Runs of valhalla t5-base-squad on huggingface.co
698
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
194
30-day runs
More Information About t5-base-squad huggingface.co Model
Url of t5-base-squad
t5-base-squad huggingface.co Url
Provider of t5-base-squad huggingface.co
Other API from valhalla
Updated:June 14 2021
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