Upload processor
Browse files- chat_template.jinja +37 -0
- processor_config.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +32 -0
chat_template.jinja
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{%- macro to_text(content) -%}
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{%- if content is string -%}
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{{- content -}}
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{%- elif content is iterable and content is not mapping -%}
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{%- for item in content -%}
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{%- if item is mapping and item.type == 'text' and item.text is defined -%}
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{{- item.text -}}
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{%- elif item is mapping and (item.type == 'audio' or 'audio' in item) -%}
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<|begin_of_audio|><|pad|><|end_of_audio|><|user|>
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{% elif item is string -%}
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{{- item -}}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{- content -}}
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{%- endif -%}
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{%- endmacro -%}
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{%- for m in messages -%}
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{%- if m.role == 'system' -%}
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<|system|>
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{{ to_text(m.content) | trim }}
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{%- elif m.role == 'user' -%}
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<|user|>
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{{ to_text(m.content) | trim }}
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{%- elif m.role == 'assistant' -%}
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<|assistant|>
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{{ to_text(m.content) | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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<|assistant|>
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{% endif -%}
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processor_config.json
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{
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"audio_bos_token": "<|begin_of_audio|>",
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"audio_eos_token": "<|end_of_audio|>",
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"audio_token": "<|pad|>",
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"feature_extractor": {
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"chunk_length": 30,
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"dither": 0.0,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 128,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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},
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"processor_class": "GlmasrProcessor"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": false,
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"do_lower_case": false,
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": [
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"<|endoftext|>",
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"[MASK]",
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"[gMASK]",
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"[sMASK]",
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"<sop>",
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"<eop>",
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"<|system|>",
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"<|user|>",
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"<|assistant|>",
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"<|observation|>",
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"<|begin_of_image|>",
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"<|end_of_image|>"
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],
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"is_local": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 65536,
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"model_specific_special_tokens": {},
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"pad_token": "<|endoftext|>",
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"padding_side": "left",
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"processor_class": "GlmasrProcessor",
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"remove_space": false,
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"tokenizer_class": "TokenizersBackend"
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}
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