Zero-Shot Classification
Transformers
Safetensors
English
matilda_jev
feature-extraction
decision-model
typed-decisions
jev
maincode
custom_code
Instructions to use Maincode/Matilda-Jev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maincode/Matilda-Jev-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Maincode/Matilda-Jev-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Maincode/Matilda-Jev-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,6 +12,7 @@ tags:
|
|
| 12 |
- custom_code
|
| 13 |
base_model:
|
| 14 |
- Qwen/Qwen3.8-27B
|
|
|
|
| 15 |
---
|
| 16 |
|
| 17 |
# Matilda-Jev by Maincode
|
|
|
|
| 12 |
- custom_code
|
| 13 |
base_model:
|
| 14 |
- Qwen/Qwen3.8-27B
|
| 15 |
+
pipeline_tag: zero-shot-classification
|
| 16 |
---
|
| 17 |
|
| 18 |
# Matilda-Jev by Maincode
|