Instructions to use krisGPT/student-tinybert-4layer-msra-ner_stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krisGPT/student-tinybert-4layer-msra-ner_stage1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="krisGPT/student-tinybert-4layer-msra-ner_stage1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("krisGPT/student-tinybert-4layer-msra-ner_stage1") model = AutoModelForTokenClassification.from_pretrained("krisGPT/student-tinybert-4layer-msra-ner_stage1", 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 sha256:40994d1ff959e4584fc546e55ab0265f5395c2c1853c0fd27fca53ff87332d79
|
| 3 |
+
size 179926060
|