Instructions to use aarimond/test_ES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aarimond/test_ES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aarimond/test_ES")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aarimond/test_ES") model = AutoModelForSequenceClassification.from_pretrained("aarimond/test_ES", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- "es"
|
| 4 |
+
license: "cc0-1.0"
|
| 5 |
+
datasets:
|
| 6 |
+
- "aarimond/test_elf_data"
|
| 7 |
+
metrics:
|
| 8 |
+
- "accuracy"
|
| 9 |
+
widget:
|
| 10 |
+
- text: "PAN AMERICAN ENERGY SL"
|
| 11 |
+
- text: "PASABAN INVESTMENT GROUP, S.L.U."
|
| 12 |
+
- text: "LLORENS CAPDEVILA S.A."
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
This is a test ELF Code detection model for Jurisdiction ES
|