Missing files?
#1
by
eyldlv
- opened
Salü! Thanks for uploading this model! I'm trying to load it, but I'm getting the following errors:
>>> feature_extractor = WhisperFeatureExtractor.from_pretrained(peft_model_id)
OSError: Flurin17/whisper-large-v3-peft-swiss-german does not appear to have a file named preprocessor_config.json. Checkout 'https://huggingface.co/Flurin17/whisper-large-v3-peft-swiss-german/main' for available files.
and
>>> tokenizer = WhisperTokenizer.from_pretrained(peft_model_id, language='german', task='transcribe')
OSError: Can't load tokenizer for 'Flurin17/whisper-large-v3-peft-swiss-german'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'Flurin17/whisper-large-v3-peft-swiss-german' is the correct path to a directory containing all relevant files for a WhisperTokenizer tokenizer.
Could it be that some files are missing from your upload?
märsi und liebi grüess
Hoi Eyal
I made a mistake. Apologies
model_name_or_path = "openai/whisper-large-v3"
task = "transcribe"
import json
import os
from transformers import WhisperFeatureExtractor
from transformers import WhisperTokenizer
feature_extractor = WhisperFeatureExtractor.from_pretrained(model_name_or_path)
tokenizer = WhisperTokenizer.from_pretrained(model_name_or_path, task=task)
from peft import PeftModel, PeftConfig
from transformers import WhisperForConditionalGeneration, Seq2SeqTrainer
peft_model_id = "flurin17/whisper-large-v3-peft-swiss-german" # Use the same model ID as before.
peft_config = PeftConfig.from_pretrained(peft_model_id)
model = WhisperForConditionalGeneration.from_pretrained(
peft_config.base_model_name_or_path, load_in_8bit=True, device_map="auto"
)
model = PeftModel.from_pretrained(model, peft_model_id)
model.config.use_cache = True
from transformers import AutomaticSpeechRecognitionPipeline
import torch
pipe = AutomaticSpeechRecognitionPipeline(model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)
with torch.cuda.amp.autocast():
result = pipe(r"L:\random\audio.mp3", generate_kwargs={"language": "german"})
print(result["text"])
hoi Flurin
danke dir vielmal fürd korrekture. Etz funktionierts!
Ich hetti imfall no e paar frage für dich :) Wärs okay zum dich privat kontaktiere? Oder chönntisch du mir villicht schnell es churzes mail schribe?
REDACTED
merci vielmal und en guete! ^^