Instructions to use ItcastAI/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItcastAI/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ItcastAI/bert_cn_finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ItcastAI/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("ItcastAI/bert_cn_finetuning") - Notebooks
- Google Colab
- Kaggle
Commit ·
d764329
1
Parent(s): ede5c48
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2fec32b23191bddb969a9b04946e4798199ba8018709c655bf996db1fe4a1853
|
| 3 |
+
size 409083960
|