from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
pipe = pipeline(
model="poltextlab/xlm-roberta-large-pooled-cap-v3",
task="text-classification",
tokenizer=tokenizer,
use_fast=False,
token="<your_hf_read_only_token>"
)
text = "We will place an immediate 6-month halt on the finance driven closure of beds and wards, and set up an independent audit of needs and facilities."
pipe(text)
Gated access
Due to the gated access, you must pass the
token
parameter when loading the model. In earlier versions of the Transformers package, you may need to use the
use_auth_token
parameter instead.
Runs of poltextlab xlm-roberta-large-pooled-cap-v3 on huggingface.co
76
Total runs
1
24-hour runs
3
3-day runs
14
7-day runs
28
30-day runs
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