This script
import os
import gigaam
os.environ["HF_TOKEN"] = ""
model = gigaam.load_model("ctc")
recognition_result = model.transcribe_longform("example_vocals.wav")
for utterance in recognition_result:
transcription = utterance["transcription"]
start, end = utterance["boundaries"]
print(f"[{gigaam.format_time(start)} - {gigaam.format_time(end)}]: {transcription}")
result : _pickle.UnpicklingError: invalid load key, '\x00'.
This script
import os
import gigaam
os.environ["HF_TOKEN"] = ""
model = gigaam.load_model("ctc")
recognition_result = model.transcribe_longform("example_vocals.wav")
for utterance in recognition_result:
transcription = utterance["transcription"]
start, end = utterance["boundaries"]
print(f"[{gigaam.format_time(start)} - {gigaam.format_time(end)}]: {transcription}")
result : _pickle.UnpicklingError: invalid load key, '\x00'.