Text Generation
Transformers.js
PyTorch
ONNX
Safetensors
English
gpt2
text-generation-inference
distillation
grpo
vae
agent
education
SLM
small
tiny
smol
distilled
micro
study
testing
blackbox
offline
localdb
Instructions to use webxos/microd_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use webxos/microd_v1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'webxos/microd_v1');
Update README.md
Browse files
README.md
CHANGED
|
@@ -114,7 +114,7 @@ print(tokenizer.decode(outputs[0]))
|
|
| 114 |
|
| 115 |
### EXAMPLE: USE CASES
|
| 116 |
|
| 117 |
-
**MICROD_v1** may not rival larger models in breadth, but
|
| 118 |
innovators balancing all perspectives in the Small Language Model space.
|
| 119 |
|
| 120 |
1. Prototype without Internet
|
|
|
|
| 114 |
|
| 115 |
### EXAMPLE: USE CASES
|
| 116 |
|
| 117 |
+
**MICROD_v1** may not rival larger models in breadth, but a focus on accessibility and browser-based AI development opens doors for
|
| 118 |
innovators balancing all perspectives in the Small Language Model space.
|
| 119 |
|
| 120 |
1. Prototype without Internet
|