Can't load model, what is wrong?
import { useEffect } from 'react'
import { SamModel, AutoProcessor, RawImage } from '@xenova/transformers'
export default function Component () {
useEffect(() => {
;(async () => {
try {
const model = await SamModel.from_pretrained('Xenova/slimsam-77-uniform')
// const processor = await AutoProcessor.from_pretrained('Xenova/slimsam-77-uniform')
// const img_url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/corgi.jpg'
// const raw_image = await RawImage.read(img_url)
// const input_points = [[[340, 250]]] // 2D localization of a window
// const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes)
// console.log(masks)
} catch (ex) {
console.log(ex)
}
})()
}, [])
return (
<div>{faker.lorem.sentence()}</div>
)
}
export { default as layout } from '$c/blank'
Hi there - do you maybe have any error logs you can share?
both parcel and vite show this message
import { useEffect } from 'react'
import { SamModel, AutoProcessor, RawImage } from '@xenova/transformers'
import { AutoModel, AutoTokenizer } from '@xenova/transformers';
export default function Component () {
useEffect(() => {
;(async () => {
try {
// let tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');
// let model = await AutoModel.from_pretrained('Xenova/bert-base-uncased');
// let inputs = await tokenizer('I love transformers!');
// let { logits } = await model(inputs);
const model = await SamModel.from_pretrained('Xenova/slimsam-77-uniform')
// const processor = await AutoProcessor.from_pretrained('Xenova/slimsam-77-uniform')
// const img_url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/corgi.jpg'
// const raw_image = await RawImage.read(img_url)
// const input_points = [[[340, 250]]] // 2D localization of a window
// const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes)
// console.log(masks)
} catch (ex) {
console.log(ex)
}
})()
}, [])
return (
<div>1</div>
)
}
SyntaxError: Unexpected token '<', "<!doctype "... is not valid JSON
at JSON.parse (<anonymous>)
at getModelJSON (@xenova_transformers.js?v=6ff487fd:15671:15)
at async loadConfig (@xenova_transformers.js?v=6ff487fd:21869:14)
at async PretrainedConfig.from_pretrained (@xenova_transformers.js?v=6ff487fd:21899:26)
at async Promise.all (:5173/index 0)
at async SamModel.from_pretrained (@xenova_transformers.js?v=6ff487fd:22926:14)
at async App.jsx:17:23
import { useEffect } from 'react'
import { SamModel, AutoProcessor, RawImage } from '@xenova/transformers'
import { AutoModel, AutoTokenizer } from '@xenova/transformers';
export default function Component () {
useEffect(() => {
;(async () => {
try {
let tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');
let model = await AutoModel.from_pretrained('Xenova/bert-base-uncased');
let inputs = await tokenizer('I love transformers!');
let { logits } = await model(inputs);
// const model = await SamModel.from_pretrained('Xenova/slimsam-77-uniform')
// const processor = await AutoProcessor.from_pretrained('Xenova/slimsam-77-uniform')
// const img_url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/corgi.jpg'
// const raw_image = await RawImage.read(img_url)
// const input_points = [[[340, 250]]] // 2D localization of a window
// const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes)
// console.log(masks)
} catch (ex) {
console.log(ex)
}
})()
}, [])
return (
<div>1</div>
)
}
SyntaxError: Unexpected token '<', "<!doctype "... is not valid JSON
at JSON.parse (<anonymous>)
at getModelJSON (@xenova_transformers.js?v=6ff487fd:15671:15)
at async Promise.all (:5173/index 0)
at async loadTokenizer (@xenova_transformers.js?v=6ff487fd:18704:16)
at async AutoTokenizer.from_pretrained (@xenova_transformers.js?v=6ff487fd:21804:46)
at async App.jsx:10:25
Hi there - this looks like the following issue: https://github.com/xenova/transformers.js/issues/366
You can fix it with:
import { pipeline, env } from '@xenova/transformers';
env.allowLocalModels = false;
(just remember to reset your browser cache).
This will be the default in Transformers.js v3
thanks
after these two settings, it works
env.allowLocalModels = false
env.useBrowserCache = false
import { useEffect } from 'react'
import { SamModel, AutoProcessor, RawImage, env } from '@xenova/transformers'
env.allowLocalModels = false
env.useBrowserCache = false
console.log(env)
export default function Component () {
useEffect(() => {
;(async () => {
try {
const model = await SamModel.from_pretrained('Xenova/slimsam-77-uniform')
const processor = await AutoProcessor.from_pretrained('Xenova/slimsam-77-uniform')
const img_url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/corgi.jpg'
const raw_image = await RawImage.read(img_url)
const input_points = [[[340, 250]]] // 2D localization of a window
const inputs = await processor(raw_image, input_points);
const outputs = await model(inputs);
const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes)
console.log(masks)
} catch (ex) {
console.log(ex)
}
})()
}, [])
return (
<div>{faker.lorem.sentence()}</div>
)
}
export { default as layout } from '$c/blank'
I'd recommend enabling env.useBrowserCache = true
, and just going into your browser dev tools to reset the browser cache.
I'd recommend enabling
env.useBrowserCache = true
, and just going into your browser dev tools to reset the browser cache.
yes i've disabled browser cache, but the same error shows sometimes after HMR, i will post an repo
I don't think you are clearing the cache correctly. You should do:
- Open dev tools (F12 on Chrome)
- Navigate to "Application" window
- Click on "Storage" tab
- Click "Clear site data"
I don't think you are clearing the cache correctly. You should do:
- Open dev tools (F12 on Chrome)
- Navigate to "Application" window
- Click on "Storage" tab
- Click "Clear site data"
oh oh okay i see, yes i just toggle disable cache on network tab
No worries :) Hopefully that fixed your issue?