Update README.md

README.md

@@ -32,22 +32,14 @@ library_name: transformers
 
 ## Usage
 
-You can use cURL to access this model:
+The easiest way to use this model locally is via the [Transformers](https://huggingface.co/docs/transformers/index) library [pipelines for inference](https://huggingface.co/docs/transformers/pipeline_tutorial). 
+Once you have [installed transformers](https://huggingface.co/docs/transformers/installation) you can run the following code. This will download and cache the model locally and allow you to make predictions on text input. 
 
-```
-$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/davanstrien/autotrain-testblog-64771135885
-```
-
-Or Python API:
 
 ```
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-
-model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-testblog-64771135885", use_auth_token=True)
-
-tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-testblog-64771135885", use_auth_token=True)
-
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+>>>from transformers import pipeline
 
-outputs = model(**inputs)
+>>>classifier = pipeline('text-classification', "davanstrien/autotrain-beyond-the-books")
+>>>classifier(text)
+[{'label': 'no_jim_crow', 'score': 0.9718555212020874}]
 ```