`pad_token_id` to `eos_token_id`:50256 for open-end generation.     'What's the difference between an iterator and an iterable?'    That's not so impressive, is it? It didn't follow the JSON format at all! Let's try with the structured decoder.JSONFormer LLM Wrapper‚ÄãLet's try that again, now providing a the Action input's JSON Schema to the model.decoder_schema = {    "title": "Decoding Schema",    "type": "object",    "properties": {        "action": {"type": "string", "default": ask_star_coder.name},        "action_input": {            "type": "object",            "properties": ask_star_coder.args,        },    },}from langchain_experimental.llms import JsonFormerjson_former = JsonFormer(json_schema=decoder_schema, pipeline=hf_model)results = json_former.predict(prompt, stop=["Observation:", "Human:"])print(results)    {"action": "ask_star_coder", "action_input": {"query": "What's the difference between an iterator and an iter", "temperature": 0.0, "max_new_tokens": 50.0}}Voila! Free of parsing errors.PreviousJavelin AI Gateway TutorialNextKoboldAI APIHuggingFace BaselineJSONFormer LLM WrapperCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
JSONFormer is a library that wraps local HuggingFace pipeline models for structured decoding of a subset of the JSON Schema.
JSONFormer is a library that wraps local HuggingFace pipeline models for structured decoding of a subset of the JSON Schema. ->: `pad_token_id` to `eos_token_id`:50256 for open-end generation.     'What's the difference between an iterator and an iterable?'    That's not so impressive, is it? It didn't follow the JSON format at all! Let's try with the structured decoder.JSONFormer LLM Wrapper‚ÄãLet's try that again, now providing a the Action input's JSON Schema to the model.decoder_schema = {    "title": "Decoding Schema",    "type": "object",    "properties": {        "action": {"type": "string", "default": ask_star_coder.name},        "action_input": {            "type": "object",            "properties": ask_star_coder.args,        },    },}from langchain_experimental.llms import JsonFormerjson_former = JsonFormer(json_schema=decoder_schema, pipeline=hf_model)results = json_former.predict(prompt, stop=["Observation:", "Human:"])print(results)    {"action": "ask_star_coder", "action_input": {"query": "What's the difference between an iterator and an iter", "temperature": 0.0, "max_new_tokens": 50.0}}Voila! Free of parsing errors.PreviousJavelin AI Gateway TutorialNextKoboldAI APIHuggingFace BaselineJSONFormer LLM WrapperCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.