Push Keras model using huggingface_hub.

README.md

@@ -1,15 +1,10 @@
 ---
 library_name: keras
-language:
-- it
-metrics:
-- accuracy
-pipeline_tag: text-classification
 ---
 
 ## Model description
-Bert (osiria/bert-tweet-base-italian-uncased) with heads for: sentiment, emotion and info \\
-The model is fine tuned for gender-base-violence italian tweets
+
+More information needed
 
 ## Intended uses & limitations
 
@@ -17,7 +12,7 @@ More information needed
 
 ## Training and evaluation data
 
-Peaks sentiment emotion
+More information needed
 
 ## Training procedure
 

fingerprint.pb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4067e7466d6445e2b3634c08156bde43bca07c3b7efabf52f22d77e6dc52ca14
+oid sha256:c5cb71893b0d336b0fc1e07f50d2f0b6b38a94b5b2066438b138d6c70913cbb2
 size 56

saved_model.pb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b0468ac787be2edb99adf5a46058789fb6bcfca29b5c8cd78f6097e9da94819
+oid sha256:d77bcd9e6733294f3177fbb7de307e1e8e72d1eb0136abbc20e341e90147871d
 size 5996523

variables/variables.data-00000-of-00001

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e134a014d3f9b2eb4f4b8f6061aba403ee3bc9fbaa66be13a0a09ce4b04bcb38
+oid sha256:7b4befb4f63f40186aa789717b1c3bd3f21d95a93c938b936a921bcd54b36d9e
 size 438501802