Views
No views yet
| Property | Value |
|---|---|
| Architecture | LlamaForCausalLM |
| Parameters | 125,848,320 |
| Model Size | 252 MB |
| Training Corpus | US case law + SEC filings + web slice (~2.19B tokens) |
| Epochs | 5 |
| Format | safetensors |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4tokenizer = AutoTokenizer.from_pretrained("sivakaturi48/SLM-Siva-Finetuned")
5model = AutoModelForCausalLM.from_pretrained("sivakaturi48/SLM-Siva-Finetuned")
6model.eval()
7
8prompt = "The court held that the defendant"
9input_ids = tokenizer(prompt, return_tensors="pt").input_ids
10
11with torch.no_grad():
12 output = model.generate(input_ids, max_new_tokens=100, do_sample=True, temperature=0.7, top_p=0.9)
13
14print(tokenizer.decode(output[0], skip_special_tokens=True))The court held that the defendant had not offered any evidence in his defense. In support of its holding, the trial judge cited two cases from this court where an accused has been denied the opportunity to present a defense.
The Company reported net revenues of $2.8 million and operating income (loss) of $(1,078,000), for the year ended December 31, 1997 compared to a net loss of ($279,000). The increase in net revenues was primarily due to increased sales volumes.
Pursuant to Section 12 of the Act, this Registrant's Report shall not be signed by the undersigned except by duly authorized officers or agents. In accordance with the Securities Exchange Act of 1934, this report has been signed below.