Upload intfloat/e5-small-v2 ctranslate fp16 weights

README.md

@@ -2626,20 +2626,7 @@ from transformers import AutoTokenizer
 
 model_name = "michaelfeil/ct2fast-e5-small-v2"
 
-# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model.
-model = GeneratorCT2fromHfHub(
-        # load in int8 on CUDA
-        model_name_or_path=model_name,
-        device="cuda",
-        compute_type="int8_float16",
-        # tokenizer=AutoTokenizer.from_pretrained("{ORG}/{NAME}")
-)
-outputs = model.generate(
-    text=["def fibonnaci(", "User: How are you doing? Bot:"],
-    max_length=64,
-    include_prompt_in_result=False
-)
-print(outputs)
+encoder-only 
 ```
 
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