Instructions to use KRadim/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRadim/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="KRadim/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("KRadim/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("KRadim/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Radim Közl commited on
Commit ·
c7e453e
1
Parent(s): fd0c5b8
Training in progress epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430908208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98de03bae079a42a7a7f4050e13b7a2f573c102e79872859f7cf9d82bcbc59f3
|
| 3 |
size 430908208
|