Downloads · 30 days
84
20% of all-time downloads
autotrain-27102022-cert-1899564594
teacookies/autotrain-27102022-cert-1899564594
autotrain-27102022-cert-1899564594 is a token classification model from teacookies. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 1899564594 - CO2 Emissions (in grams): 22.0361
All-time downloads
427
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin667 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 27, 2022
- Updated
- Oct 27, 2022
- SHA
- b793f1a0
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1899564594
- CO2 Emissions (in grams): 22.0361
Validation Metrics
- Loss: 0.003
- Accuracy: 0.999
- Precision: 0.981
- Recall: 0.982
- F1: 0.981
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/teacookies/autotrain-27102022-cert-1899564594
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("teacookies/autotrain-27102022-cert-1899564594", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("teacookies/autotrain-27102022-cert-1899564594", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Token Classification
- Library
- transformers
- Languages
- unk
- Created
- Oct 27, 2022
- Updated
- Oct 27, 2022