Instructions to use realitisoft/ai-bot-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use realitisoft/ai-bot-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="realitisoft/ai-bot-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("realitisoft/ai-bot-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("realitisoft/ai-bot-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 941 Bytes
c7e8396 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | import unicodedata
import sys
# HFS Plus uses decomposed UTF-8
def decompose(path):
if isinstance(path, str):
return unicodedata.normalize('NFD', path)
try:
path = path.decode('utf-8')
path = unicodedata.normalize('NFD', path)
path = path.encode('utf-8')
except UnicodeError:
pass # Not UTF-8
return path
def filesys_decode(path):
"""
Ensure that the given path is decoded,
NONE when no expected encoding works
"""
if isinstance(path, str):
return path
fs_enc = sys.getfilesystemencoding() or 'utf-8'
candidates = fs_enc, 'utf-8'
for enc in candidates:
try:
return path.decode(enc)
except UnicodeDecodeError:
continue
def try_encode(string, enc):
"turn unicode encoding into a functional routine"
try:
return string.encode(enc)
except UnicodeEncodeError:
return None
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