Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Mhammad2000/bert-fine-tuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mhammad2000/bert-fine-tuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mhammad2000/bert-fine-tuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mhammad2000/bert-fine-tuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Mhammad2000/bert-fine-tuned-cola") - Notebooks
- Google Colab
- Kaggle
Commit ·
dbb3ca9
1
Parent(s): 2538aee
End of training
Browse files
README.md
CHANGED
|
@@ -3,14 +3,14 @@ license: apache-2.0
|
|
| 3 |
tags:
|
| 4 |
- generated_from_keras_callback
|
| 5 |
model-index:
|
| 6 |
-
- name:
|
| 7 |
results: []
|
| 8 |
---
|
| 9 |
|
| 10 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
| 11 |
probably proofread and complete it, then remove this comment. -->
|
| 12 |
|
| 13 |
-
#
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_keras_callback
|
| 5 |
model-index:
|
| 6 |
+
- name: bert-fine-tuned-cola
|
| 7 |
results: []
|
| 8 |
---
|
| 9 |
|
| 10 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
| 11 |
probably proofread and complete it, then remove this comment. -->
|
| 12 |
|
| 13 |
+
# bert-fine-tuned-cola
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|