Instructions to use whitefoxredhell/language_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitefoxredhell/language_identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitefoxredhell/language_identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("whitefoxredhell/language_identification") model = AutoModelForSeq2SeqLM.from_pretrained("whitefoxredhell/language_identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 376 Bytes
e67ebca | 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 | {
"0": "fr",
"1": "zh",
"2": "fa",
"3": "ky",
"4": "ru",
"5": "lt",
"6": "uz",
"7": "en",
"8": "pt",
"9": "bg",
"10": "th",
"11": "pl",
"12": "ur",
"13": "sw",
"14": "tr",
"15": "es",
"16": "ar",
"17": "it",
"18": "hi",
"19": "de",
"20": "el",
"21": "nl",
"22": "vi",
"23": "ja"
} |