Instructions to use arrafmousa/final_argument_manager with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arrafmousa/final_argument_manager with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="arrafmousa/final_argument_manager")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("arrafmousa/final_argument_manager") model = AutoModelForQuestionAnswering.from_pretrained("arrafmousa/final_argument_manager") - 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:fce6d52600d25f4c09ec31d5c296c7dd1dca514f6aed49da7db02ceb51240425
|
| 3 |
+
size 496254448
|