Sequence Classification Model
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Sequence Classification Model has 5 facts recorded in Dontopedia across 1 reference.
Mostly:rdf:type(1), created by(1), intended for(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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configuredForConfigured for(1)
- Training Args
ex:training_args
rdf:typeRdf:type(1)
- Distilbert Base Uncased
ex:distilbert-base-uncased
sharesConfigWithShares Config With(1)
- Tokenizer
ex:tokenizer
usedByUsed by(1)
- Model Name
ex:model_name
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Auto Model for Sequence Classification | [1] |
| Created by | From Pretrained | [1] |
| Intended for | Sequence Classification Task | [1] |
| Uses Tokenizer | Tokenizer | [1] |
| Initialized Before | Tokenizer | [1] |
Timeline
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References (1)
ctx:claims/beam/14cf4eab-a053-4cf0-b374-9022e5e69c19- full textbeam-chunktext/plain1 KB
doc:beam/14cf4eab-a053-4cf0-b374-9022e5e69c19Show excerpt
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=len(df['label'].unique())) tokenizer = AutoTokenizer.from_pretrained(model_name) # Tokenize the data train_encodings = tokenizer(train_df['query'].tolist(), …
See also
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