Instructions to use mnavas/roberta-finetuned-qa-reqzar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnavas/roberta-finetuned-qa-reqzar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mnavas/roberta-finetuned-qa-reqzar")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mnavas/roberta-finetuned-qa-reqzar") model = AutoModelForQuestionAnswering.from_pretrained("mnavas/roberta-finetuned-qa-reqzar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b0e821347e76ff9755fe06320285a17cb99ecc7da8c6d905985f0f001e4f4418
|
| 3 |
+
size 496245232
|