Sweelol-ai
/

finetuned-pruned-gemma3-270m-dolly

Text Classification

text-generation

text-generation-inference

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sweelol commited on Aug 26

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1f2d978

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1 Parent(s): d982c40

Update README.md

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@@ -39,7 +39,7 @@ $ pip install -U transformers
 ```python
 from transformers import pipeline
-pipe = pipeline("text-generation", model="sweelol/gemma3-270m-dolly-teacher")
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
@@ -53,8 +53,8 @@ $ pip install -U transformers
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
-tokenizer = AutoTokenizer.from_pretrained("sweelol/gemma3-270m-dolly-teacher")
-model = AutoModelForCausalLM.from_pretrained("sweelol/gemma3-270m-dolly-teacher")
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]

 ```python
 from transformers import pipeline
+pipe = pipeline("text-generation", model="Sweelol-ai/finetuned-pruned-gemma3-270m-dolly")
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("Sweelol-ai/finetuned-pruned-gemma3-270m-dolly")
+model = AutoModelForCausalLM.from_pretrained("Sweelol-ai/finetuned-pruned-gemma3-270m-dolly")
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]