Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
model ="pran1805/FalconFinance"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
torch_dtype=torch.bfloat16,
device_map="auto",
)
sequences = pipeline(
"QUERY",
max_length=80,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
)
for seq in sequences:
print(f"Result: {seq['generated_text'].split('Below')[0]}")
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