Created README

README.md

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+---
+task_categories:
+- audio-classification
+language:
+- it
+tags:
+- intent
+- intent-classification
+- audio-classification
+- audio
+pretty_name: ITALIC
+size_categories:
+- 10K<n<100K
+base_model:
+- facebook/wav2vec2-xls-r-300m
+datasets:
+- RiTA-nlp/ITALIC
+library_name: transformers
+---
+
+# wav2vec 2.0 XLS-R 128 (300m) fine-tuned on ITALIC - "Hard Noisy"
+
+ITALIC is an intent classification dataset for the Italian language, which is the first of its kind. 
+It includes spoken and written utterances and is annotated with 60 intents. 
+The dataset is available on [Zenodo](https://zenodo.org/record/8040649) and connectors ara available for the [HuggingFace Hub](https://huggingface.co/datasets/RiTA-nlp/ITALIC).
+
+This is the [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model fine-tuned on the "Hard Noisy" split.
+
+## Usage
+
+You can use the model directly in the following manner:
+
+```python
+import torch
+import librosa
+from transformers import AutoModelForAudioClassification, AutoFeatureExtractor
+
+## Load an audio file
+audio_array, sr = librosa.load("path_to_audio.wav", sr=16000)
+
+## Load model and feature extractor
+model = AutoModelForAudioClassification.from_pretrained("alkiskoudounas/xls-r-128-italic-noisy")
+feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-xls-r-300m")
+
+## Extract features
+inputs = feature_extractor(audio_array.squeeze(), sampling_rate=feature_extractor.sampling_rate, padding=True, return_tensors="pt")
+
+## Compute logits
+logits = model(**inputs).logits
+```
+
+For more information about the dataset and the model, please refer to the [paper](https://arxiv.org/abs/2306.08502).
+
+## Citation
+
+If you use this model in your research, please cite the following paper:
+
+```bibtex
+@inproceedings{koudounas2023italic,
+  title={ITALIC: An Italian Intent Classification Dataset},
+  author={Koudounas, Alkis and La Quatra, Moreno and Vaiani, Lorenzo and Colomba, Luca and Attanasio, Giuseppe and Pastor, Eliana and Cagliero, Luca and Baralis, Elena},
+  booktitle={Proc. Interspeech 2023},
+  pages={2153--2157},
+  year={2023}
+}
+```