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")# 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
- Xet hash:
- d9ddfca289b1a069e926decac429fd0f217b4d374ad43c2c34a03e1376fb95ce
- Size of remote file:
- 334 MB
- SHA256:
- bb3f102b0ff6cc1bc649beab8e46fcaa21193e3aabfd427f229d61070615a385
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