Update README.md

README.md

@@ -1,10 +1,23 @@
 ---
-license: mit
+license: apache-2.0
 language:
 - en
 library_name: transformers
+metrics:
+- accuracy
+tags:
+- crypto
+- bitcoin
+- news
+- eth
+- transformers
 ---
-
+widget:
+- text: "Bitcoin Vault (BTCV) traded 5.6% higher against the <mask> during the twenty-four hour period ending at 14:00 PM Eastern on October 7th. In the last week, Bitcoin Vault has traded down 2.7% against the dollar. One Bitcoin Vault coin can now be bought for approximately $2.48 or 0.00012763 BTC on major cryptocurrency exchanges. Bitcoin Vault has a total market cap of $5.20 million and approximately $63,451.00 worth of Bitcoin Vault was traded on exchanges in the last day. Here's how other cryptocurrencies have performed in the last day: Bitcoin (BTC)"
+  example_title: "MLM 1"
+- text: "Good morning. Here's what's <mask>:Prices: Bitcoin started what has historically been a <mask> month about where it ended a dismal September, holding over $19K.Insights: USDC's stablecoin-fueled model of money, in which the dollar functions as an open 'protocol,' could allow innovation to flourish. But healthy competition is a prerequisite.Catch the latest episodes of CoinDesk TV for insightful interviews with crypto industry leaders and analysis. And sign up for First Mover, our daily newsletter putting the latest moves in crypto markets in context.
+"
+  example_title: "MLM 2"
 
 CryptoBERT is a pre-trained BERT (Bidirectional Encoder Representations from Transformers) model fine-tuned on a dataset of crypto-related news articles. It is designed to analyze and understand crypto news, providing valuable insights into the rapidly evolving world of cryptocurrencies.
 
@@ -18,4 +31,4 @@ CryptoBERT is a pre-trained BERT (Bidirectional Encoder Representations from Tra
 
 - **Fine-tuned for Crypto Jargon**: CryptoBERT is fine-tuned to recognize and understand the specialized jargon commonly used in the crypto industry, ensuring accurate interpretation of news articles.
 
-## Usage
+## Usage