Upload ByteDance_Ouro-2.6B-Thinking_1.py with huggingface_hub
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ByteDance_Ouro-2.6B-Thinking_1.py
CHANGED
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@@ -4,6 +4,8 @@
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# "numpy",
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# "einops",
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# "pandas",
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# "protobuf",
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# "torch",
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# "sentencepiece",
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@@ -21,7 +23,7 @@
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try:
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# Load model directly
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("ByteDance/Ouro-2.6B-Thinking", trust_remote_code=True,
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with open('ByteDance_Ouro-2.6B-Thinking_1.txt', 'w', encoding='utf-8') as f:
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f.write('Everything was good in ByteDance_Ouro-2.6B-Thinking_1.txt')
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except Exception as e:
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@@ -38,7 +40,7 @@ except Exception as e:
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f.write('''```CODE:
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# Load model directly
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("ByteDance/Ouro-2.6B-Thinking", trust_remote_code=True,
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```
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ERROR:
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# "numpy",
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# "einops",
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# "pandas",
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# "matplotlib",
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# "paddleorc",
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# "protobuf",
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# "torch",
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# "sentencepiece",
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try:
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# Load model directly
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("ByteDance/Ouro-2.6B-Thinking", trust_remote_code=True, dtype="auto")
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with open('ByteDance_Ouro-2.6B-Thinking_1.txt', 'w', encoding='utf-8') as f:
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f.write('Everything was good in ByteDance_Ouro-2.6B-Thinking_1.txt')
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except Exception as e:
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f.write('''```CODE:
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# Load model directly
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("ByteDance/Ouro-2.6B-Thinking", trust_remote_code=True, dtype="auto")
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```
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ERROR:
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