Instructions to use frett/chinese_extract_mac_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_extract_mac_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="frett/chinese_extract_mac_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("frett/chinese_extract_mac_bert") model = AutoModelForQuestionAnswering.from_pretrained("frett/chinese_extract_mac_bert") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3464
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 406737680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26a9de6ce89e20f354f8ef597e7ed402c7b59fe656ddabcae4d0ee8520dc51d1
|
| 3 |
size 406737680
|