Update README.md

README.md

@@ -1,5 +1,11 @@
 ---
-license: unknown
+language:
+- en
+base_model:
+- distilbert/distilroberta-base
+pipeline_tag: text-classification
+tags:
+- finance
 ---
 pip install transformers
 from transformers import automodelforcausallm, autotokenizer 
@@ -9,5 +15,4 @@ model_name="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
 tokenizer = autotokenizer.from_pretrained(model_name)
 model=automodelforcausallm.from_pretrained(model_name,pad_token_id=tokenizer.eos_token_id).to(torch_device)
 model_inputs=tokenizer('Nvidia reported profits of €10Mio',return_tensors='pt').to(torch_device)
-output = model(**inputs).logits.argmax(axis=1)
-
+output = model(**inputs).logits.argmax(axis=1)