Upload 5 files

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab2b0d72d5f8b21f384423cdf208f6b6d289de2654d51d38680f3d366d5806c2
+size 4918522663

special_tokens_map.json

@@ -0,0 +1 @@
+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

spiece.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
+size 4309802

tokenizer_config.json

@@ -0,0 +1 @@
+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "tokenizer_file": null, "name_or_path": "google/mt5-large"}

usage.py

@@ -0,0 +1,15 @@
+
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+model_name="en2fa"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+def translate(user_text):
+   
+    inputs = tokenizer.encode(user_text, return_tensors="pt")
+    translated = model.generate(inputs) 
+    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
+    print(translated_text)
+    return   translated_text
+
+
+translate("I am calling from tax office.")