Update README.md

README.md

@@ -108,7 +108,7 @@ tags:
 
 # Fast-Inference with Ctranslate2
 Speedup inference by 2x-8x using int8 inference in C++
-quantized version of facebook/m2m100_1.2B
+quantized version of facebook/m2m100_12B-last-ckpt
 
 pip install hf_hub_ctranslate2>=1.0.3 ctranslate2>=3.13.0
 
@@ -116,7 +116,7 @@ pip install hf_hub_ctranslate2>=1.0.3 ctranslate2>=3.13.0
 from hf_hub_ctranslate2 import MultiLingualTranslatorCT2fromHfHub
 
 model = MultiLingualTranslatorCT2fromHfHub(
-    model_name_or_path="michaelfeil/ct2fast-m2m100_PARAMS", device="cpu", compute_type="int8",
+    model_name_or_path="michaelfeil/ct2fast-m2m100_12B-last-ckpt", device="cpu", compute_type="int8",
     tokenizer=AutoTokenizer.from_pretrained(f"facebook/m2m100_418M")
 )
 
@@ -133,7 +133,7 @@ compute_type=int8 for device="cpu"
 Converted 5/13/23 to Ctranslate2
 ```bash
 export ORG="facebook"
-export NAME="m2m100_PARAMS"
+export NAME="m2m100_12B-last-ckpt"
 ct2-transformers-converter --model "$ORG/$NAME" --copy_files .gitattributes README.md generation_config.json sentencepiece.bpe.model  special_tokens_map.json tokenizer_config.json vocab.json --quantization float16
 ```
 
@@ -143,8 +143,8 @@ Alternative
 import ctranslate2
 import transformers
 
-translator = ctranslate2.Translator("m2m100_PARAMS")
-tokenizer = transformers.AutoTokenizer.from_pretrained("facebook/m2m100_PARAMS")
+translator = ctranslate2.Translator("m2m100_12B-last-ckpt")
+tokenizer = transformers.AutoTokenizer.from_pretrained("facebook/m2m100_12B-last-ckpt")
 tokenizer.src_lang = "en"
 
 source = tokenizer.convert_ids_to_tokens(tokenizer.encode("Hello world!"))