Push model using huggingface_hub.

README.md

@@ -1,21 +1,10 @@
 ---
-license: apache-2.0
-datasets:
-- silky1708/CREMA-D
-- DynamicSuperb/EmotionalVoiceConversion_ESD
-language:
-- en
-metrics:
-- accuracy
-- cer
-base_model:
-- facebook/wav2vec2-base
-pipeline_tag: automatic-speech-recognition
-library_name: fairseq, transformers
 tags:
-- speech-recognition,
-- emotion-recognition,
-- speaker-identification
+- model_hub_mixin
+- pytorch_model_hub_mixin
 ---
-# SSL-SEMI-MULTITASK
-In this project, we have finetuned wav2vec2 model with Semi-supervised Multi-tasks such as Speech Recognition, Speaker Identification, Emotion Recognition
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Code: https://huggingface.co/asadullah797/ssl-semi-multitask
+- Paper: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -0,0 +1,6 @@
+{
+  "base_model": "facebook/wav2vec2-base",
+  "num_emotions": 14,
+  "num_phonemes": 32,
+  "num_speakers": 382
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e9271d475ec9f0b3fa0d623bc8bf2bc1191d2a8fa91582852017bc8c9a4aa9c
+size 378829368