Bairdy•2y ago

Is anyone working on LLMs for Deno so I don't have to learn it in disgusting Python?

I'm coming to terms with the reality of having to learn this technology but not on Python.. I mean.. very much hopefully not on Python.

5 Replies

Unknown User•2y ago

Message Not Public

BairdyOP•2y ago

Amazing! Thanks for the tip!

Snabel•2y ago

You could use https://github.com/denosaurs/deno_python and that way have access to the whole python ecosystem of llm's and ml while in the comfy and familiar confines of deno. Heres a falcon7b example running locally in deno! Just run

pip install git+https://www.github.com/huggingface/transformers git+https://github.com/huggingface/accelerate bitsandbytes einops torch

and then the following program:

import { python, kw } from "https://deno.land/x/python/mod.ts";

const torch = python.import("torch");
const transformers = python.import("transformers");
const { AutoTokenizer } = transformers;

const model = "tiiuae/falcon-7b";

const tokenizer = AutoTokenizer.from_pretrained(model);
const pipeline = transformers.pipeline(
  "text-generation",
  kw`model=${model}`,
  kw`tokenizer=${tokenizer}`,
  kw`torch_dtype=${torch.bfloat16}`,
  kw`trust_remote_code=${true}`,
  kw`device_map=${"auto"}`
);
const sequences = pipeline(
  "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
  kw`max_length=${200}`,
  kw`do_sample=${true}`,
  kw`top_k=${10}`,
  kw`num_return_sequences=${1}`,
  kw`eos_token_id=${tokenizer.eos_token_id}`
);

for (const sequence of sequences) {
  console.log(`Result: ${sequence.get_attr("generated_text")}`);
}

import { python, kw } from "https://deno.land/x/python/mod.ts";

const torch = python.import("torch");
const transformers = python.import("transformers");
const { AutoTokenizer } = transformers;

const model = "tiiuae/falcon-7b";

const tokenizer = AutoTokenizer.from_pretrained(model);
const pipeline = transformers.pipeline(
  "text-generation",
  kw`model=${model}`,
  kw`tokenizer=${tokenizer}`,
  kw`torch_dtype=${torch.bfloat16}`,
  kw`trust_remote_code=${true}`,
  kw`device_map=${"auto"}`
);
const sequences = pipeline(
  "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
  kw`max_length=${200}`,
  kw`do_sample=${true}`,
  kw`top_k=${10}`,
  kw`num_return_sequences=${1}`,
  kw`eos_token_id=${tokenizer.eos_token_id}`
);

for (const sequence of sequences) {
  console.log(`Result: ${sequence.get_attr("generated_text")}`);
}

GitHub

GitHub - denosaurs/deno_python: 🐍 Python interpreter bindings for D...

🐍 Python interpreter bindings for Deno. Contribute to denosaurs/deno_python development by creating an account on GitHub.

mattvr•2y ago

You can also check out my deno project ShellGPT which has some easy to use wrappers for OpenAI calls https://github.com/mattvr/ShellGPT/blob/main/lib/ai.ts

GitHub

ShellGPT/lib/ai.ts at main · mattvr/ShellGPT

Upgrade your terminal with GPT-4. Contribute to mattvr/ShellGPT development by creating an account on GitHub.

ioB•2y ago

There's always https://deno.land/x/openai@1.4.1 if you need to make OpenAI calls