!pip install transformers

from transformers import pipeline

# Download the model
model_name = "hf/0522"
nlp = pipeline("text-generation", model=model_name, tokenizer=model_name)

# Generate text
text = nlp("Hello, how are you?")
print(text)

{}
doi:10.57967/hf/0522 region:us
TAGS
#doi-10.57967/hf/0522 #region-us 

!pip install transformers

from transformers import pipeline

# Download the model
model_name = "hf/0522"
nlp = pipeline("text-generation", model=model_name, tokenizer=model_name)

# Generate text
text = nlp("Hello, how are you?")
print(text)

# Download the model
model_name = "hf/0522"
nlp = pipeline("text-generation", model=model_name, tokenizer=model_name) # Generate text
text = nlp("Hello, how are you?")
print(text)
TAGS
#doi-10.57967/hf/0522 #region-us 
 # Download the model
model_name = "hf/0522"
nlp = pipeline("text-generation", model=model_name, tokenizer=model_name) # Generate text
text = nlp("Hello, how are you?")
print(text)
TAGS
#doi-10.57967/hf/0522 #region-us 
# Download the model
model_name = "hf/0522"
nlp = pipeline("text-generation", model=model_name, tokenizer=model_name)# Generate text
text = nlp("Hello, how are you?")
print(text)