Instructions to use Xenova/EsperBERTo-small-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/EsperBERTo-small-pos with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'Xenova/EsperBERTo-small-pos'); - Transformers
How to use Xenova/EsperBERTo-small-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Xenova/EsperBERTo-small-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Xenova/EsperBERTo-small-pos") model = AutoModelForTokenClassification.from_pretrained("Xenova/EsperBERTo-small-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Xenova/EsperBERTo-small-pos: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/Xenova/EsperBERTo-small-pos/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Xenova/EsperBERTo-small-pos/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Xenova/EsperBERTo-small-pos/resolve/main/tokenizer_config.json
1.36 kB
| { | |
| "add_prefix_space": false, | |
| "bos_token": { | |
| "__type": "AddedToken", | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": { | |
| "__type": "AddedToken", | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "__type": "AddedToken", | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "errors": "replace", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "max_len": 512, | |
| "model_max_length": 512, | |
| "pad_token": { | |
| "__type": "AddedToken", | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "__type": "AddedToken", | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": { | |
| "__type": "AddedToken", | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |