Text Classification
Transformers
PyTorch
English
Chinese
internlm2
feature-extraction
Reward
RL
RFT
Reward Model
custom_code
Instructions to use internlm/POLAR-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/POLAR-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="internlm/POLAR-7B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/POLAR-7B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ tags:
|
|
| 10 |
- RL
|
| 11 |
- RFT
|
| 12 |
- Reward Model
|
| 13 |
-
pipeline_tag: text-
|
| 14 |
library_name: transformers
|
| 15 |
---
|
| 16 |
|
|
|
|
| 10 |
- RL
|
| 11 |
- RFT
|
| 12 |
- Reward Model
|
| 13 |
+
pipeline_tag: text-classification
|
| 14 |
library_name: transformers
|
| 15 |
---
|
| 16 |
|