Update README.md

README.md

@@ -1,44 +1,44 @@
----
-library_name: transformers
-license: mit
-base_model: jhu-clsp/mmBERT-small
-tags:
-- sentiment
-- text-classification
-- multilingual
-- modernbert
-- sentiment-analysis
-- product-reviews
-- place-reviews
-- mmbert
-metrics:
-- f1
-- precision
-- recall
-model-index:
-- name: mmBERT-small-multilingual-sentiment
-  results: []
-datasets:
-- clapAI/MultiLingualSentiment
-language:
-- en
-- zh
-- vi
-- ko
-- ja
-- ar
-- de
-- es
-- fr
-- hi
-- id
-- it
-- ms
-- pt
-- ru
-- tr
-pipeline_tag: text-classification
----
+---
+library_name: transformers
+license: mit
+base_model: jhu-clsp/mmBERT-small
+tags:
+- sentiment
+- text-classification
+- multilingual
+- modernbert
+- sentiment-analysis
+- product-reviews
+- place-reviews
+- mmbert
+metrics:
+- f1
+- precision
+- recall
+model-index:
+- name: mmBERT-small-multilingual-sentiment
+  results: []
+datasets:
+- clapAI/MultiLingualSentiment
+language:
+- en
+- zh
+- vi
+- ko
+- ja
+- ar
+- de
+- es
+- fr
+- hi
+- id
+- it
+- ms
+- pt
+- ru
+- tr
+pipeline_tag: text-classification
+---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
@@ -87,13 +87,14 @@ pip install transformers==4.55.0
 `Optional: accelerate inference with FlashAttention-2 (if supported by your GPU):`
 
 ```bash
-pip install packaging
-pip install ninja
-MAX_JOBS=4 pip install flash-attn --no-build-isolation
+pip install packaging==25.0 ninja==1.13.0
+MAX_JOBS=4 pip install flash-attn==2.8.3 --no-build-isolation
 ```
 
 ### Example Usage
 
+Try it on [Google Colab](https://colab.research.google.com/drive/1nsh22sEz0znV3OedE8RqA0dNoPOJjghJ?usp=sharing)
+
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForSequenceClassification