Instructions to use sarraj19/metaphor_classifier_tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarraj19/metaphor_classifier_tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sarraj19/metaphor_classifier_tamil")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sarraj19/metaphor_classifier_tamil") model = AutoModelForSequenceClassification.from_pretrained("sarraj19/metaphor_classifier_tamil") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +1 -1
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
-
base_model: google/muril-base-cased
|
| 6 |
model-index:
|
| 7 |
- name: metaphor_classifier_tamil
|
| 8 |
results: []
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model: google/muril-base-cased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: metaphor_classifier_tamil
|
| 8 |
results: []
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 950254592
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76779d3a8e9306a98cbff24187d76337029c1c383af1a0db0afcdabb4b658e7b
|
| 3 |
size 950254592
|