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sravn
/

e2e-qg-scibert

encoder-decoder

text2text-generation

Model card Files Files and versions

Instructions to use sravn/e2e-qg-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sravn/e2e-qg-scibert with Transformers:

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("sravn/e2e-qg-scibert")
model = AutoModelForSeq2SeqLM.from_pretrained("sravn/e2e-qg-scibert")

Notebooks
Google Colab
Kaggle

993 MB

Ctrl+K

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1 contributor

History: 2 commits

sravn's picture

Initial commit

fd310d5 almost 5 years ago

.gitattributes

737 Bytes
initial commit almost 5 years ago
config.json

4.11 kB
Initial commit almost 5 years ago
pytorch_model.bin
Detected Pickle imports (4)
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "torch.FloatStorage"
What is a pickle import?
993 MB
xet

Initial commit almost 5 years ago
special_tokens_map.json

112 Bytes
Initial commit almost 5 years ago
tokenizer_config.json

323 Bytes
Initial commit almost 5 years ago
vocab.txt

228 kB
Initial commit almost 5 years ago