Update README.md

README.md

@@ -9,6 +9,27 @@ library_name: transformers
 tags:
 - legal
 ---
+# sempl-it-nominalizations-bnb
+SEMPL-IT aims to simplify Italian administrative texts using a progressive approach based on multiple specialized models. 
+Each model addresses a specific aspect of the text transformation process, ensuring a step-by-step refinement.
+
+## Simplification Pipeline
+The complete text simplification pipeline follows eight sequential steps:
+1. [proofreading](https://huggingface.co/VerbACxSS/sempl-it-proofreading-bnb)
+2. [lex](https://huggingface.co/VerbACxSS/sempl-it-lex-bnb)
+3. [connectives](https://huggingface.co/VerbACxSS/sempl-it-connectives-bnb)
+4. [expressions](https://huggingface.co/VerbACxSS/sempl-it-expressions-bnb)
+5. [sentence-splitter](https://huggingface.co/VerbACxSS/sempl-it-sentence-splitter-bnb)
+6. [nominalizations](https://huggingface.co/VerbACxSS/sempl-it-nominalizations-bnb)  (this)
+7. [verbs](https://huggingface.co/VerbACxSS/sempl-it-verbs-bnb)
+8. [sentence-reorganizer](https://huggingface.co/VerbACxSS/sempl-it-sentence-reorganizer-bnb)
+
+## Web App
+To integrate this model into the full system, check out:
+- Frontend: [GitHub Repository](https://github.com/VerbACxSS/sempl-it-frontend)
+- Backend: [GitHub Repository](https://github.com/VerbACxSS/sempl-it-backend)
+- Inference: [GitHub Repository](https://github.com/VerbACxSS/sempl-it-inference)
+
 ## Usage
 Install the following dependencies:
 ```sh
@@ -56,8 +77,8 @@ Load SEMPL-IT model and tokenizer:
 ```py
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("VerbACxSS/sempl-it-nominalizations-awq")
-model = AutoModelForCausalLM.from_pretrained("VerbACxSS/sempl-it-nominalizations-awq").to("cuda")
+tokenizer = AutoTokenizer.from_pretrained("VerbACxSS/sempl-it-nominalizations-bnb")
+model = AutoModelForCausalLM.from_pretrained("VerbACxSS/sempl-it-nominalizations-bnb").to("cuda")
 ```
 
 Define and apply chat template: