forked from phoenix/litellm-mirror
update hf docs
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1 changed files with 6 additions and 6 deletions
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@ -20,12 +20,12 @@ Do that by setting it as part of the model name - completion(model="huggingface
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import os
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from litellm import completion
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# Set env variables
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os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key" # [OPTIONAL]
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# [OPTIONAL] set env var
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os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key"
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messages = [{ "content": "There's a llama in my garden 😱 What should I do?","role": "user"}]
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# e.g. let's do this for 'WizardLM/WizardCoder-Python-34B-V1.0'
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# e.g. Call 'WizardLM/WizardCoder-Python-34B-V1.0' hosted on HF Inference endpoints
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response = completion(model="huggingface/WizardLM/WizardCoder-Python-34B-V1.0", messages=messages, api_base="https://my-endpoint.huggingface.cloud")
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print(response)
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@ -39,12 +39,12 @@ print(response)
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import os
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from litellm import completion
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# Set env variables
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os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key" # [OPTIONAL]
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# [OPTIONAL] set env var
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os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key"
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messages = [{ "content": "There's a llama in my garden 😱 What should I do?","role": "user"}]
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# e.g. let's do this for 'facebook/blenderbot-400M-distill'
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# e.g. Call 'facebook/blenderbot-400M-distill' hosted on HF Inference endpoints
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response = completion(model="huggingface/facebook/blenderbot-400M-distill", messages=messages, api_base="https://my-endpoint.huggingface.cloud", task="conversational")
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print(response)
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