# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("peanutacake/20_en_acc")
model = AutoModelForTokenClassification.from_pretrained("peanutacake/20_en_acc")Quick Links
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 53773126588
- CO2 Emissions (in grams): 0.0021
Validation Metrics
- Loss: 0.342
- Accuracy: 0.920
- Precision: 0.559
- Recall: 0.624
- F1: 0.590
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/peanutacake/autotrain-20_ner_en-53773126588
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("peanutacake/autotrain-20_ner_en-53773126588", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("peanutacake/autotrain-20_ner_en-53773126588", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 1
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="peanutacake/20_en_acc")