Create README.md

README.md

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+# NER of medications
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model aims to demonstrate text classification task through sentiment analysis
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** [Nilton Seixas]
+- **Language(s) (NLP):** [English]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [distilbert-base-cased]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [niltonseixas/sentiment_analysis]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+from transformers import pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("niltonseixas/sentiment_analysis_tokenizer")
+
+model = pipeline("text-classification", model="niltonseixas/sentiment_analysis", tokenizer=tokenizer)
+
+model("I'm in love with NLP")