NLP.py

# Use a pipeline as a high-level helper
from transformers import pipeline
print("Hello World")
pipe = pipeline("translation", model="facebook/nllb-200-distilled-600M")

from transformers import AutoTokenizer, M2M100ForConditionalGeneration

model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
tokenizer = AutoTokenizer.from_pretrained("facebook/m2m100_418M")

text_to_translate = "Life is like a box of chocolates"
model_inputs = tokenizer(text_to_translate, return_tensors="pt")

# translate to French
gen_tokens = model.generate(**model_inputs, forced_bos_token_id=tokenizer.get_lang_id("fr"))
print(tokenizer.batch_decode(gen_tokens, skip_special_tokens=True))